{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":8,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":8,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"9eefd9717386","filters":{"venue":"Journal of Reliable Intelligent Environments"}},"results":[{"id":"W4206666190","doi":"10.1007/s40860-021-00168-9","title":"A machine learning approach for investigating the impact of seasonal variation on physical composition of municipal solid waste","year":2022,"lang":"en","type":"article","venue":"Journal of Reliable Intelligent Environments","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Mount Royal University","funders":"","keywords":"Adaptive neuro fuzzy inference system; Particle swarm optimization; Genetic algorithm; Cluster analysis; Municipal solid waste; Mean squared error; Fuzzy logic; Computer science; Environmental science; Machine learning; Mathematics; Artificial intelligence; Waste management; Engineering; Statistics; Fuzzy control system","authors":[{"name":"Oluwatobi Adeleke","is_ca":false},{"name":"Stephen A. Akinlabi","is_ca":false},{"name":"Tien‐Chien Jen","is_ca":false},{"name":"Israel Dunmade","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02325022186864888,"gpt":0.2766582904039568,"spread":0.253408068535308,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007647918,0.000312309,0.0003350865,0.001064086,0.0004009322,0.0005380653,0.000541147,0.0005765088,0.0007132008],"category_scores_gemma":[0.001582512,0.000188332,0.000601483,0.0008055607,0.0002455956,0.0004979569,0.0002628388,0.0004834247,0.0001299655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005206297,"about_ca_system_score_gemma":0.0004239777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005845218,"about_ca_topic_score_gemma":0.006065284,"domain_scores_codex":[0.9997887,0.00006416097,0.00001352401,0.00006970103,0.00004272502,0.00002126104],"domain_scores_gemma":[0.9993361,0.0004369084,0.00007823169,0.00005340547,0.00007555493,0.0000198445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007170126,0.001226646,0.1157023,0.000119984,0.0004688255,0.0001418254,0.0001709893,0.5504969,0.05915065,0.002913784,0.0005507407,0.2683402],"study_design_scores_gemma":[0.000005421021,0.00006327129,0.01127141,0.000001821719,0.00001663404,0.00001849984,0.00002264606,0.9847365,0.00301905,0.0006757088,0.0001605516,0.000008374866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7688717,0.0002022174,0.2279007,0.0001425134,0.00003355595,0.00007483451,0.0003218218,0.0003258525,0.002126874],"genre_scores_gemma":[0.9647903,0.00005115622,0.03420012,0.00002057042,0.00001553949,0.00003592352,0.0001948045,0.00001607315,0.0006754132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005845218,"threshold_uncertainty_score":0.01162237,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2533175436","doi":"10.1007/s40860-016-0030-x","title":"Optimization of sensor deployment using multi-objective evolutionary algorithms","year":2016,"lang":"en","type":"article","venue":"Journal of Reliable Intelligent Environments","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"Wireless sensor network; Computer science; Cover (algebra); Evolutionary algorithm; Software deployment; Key distribution in wireless sensor networks; Position (finance); Algorithm; Point (geometry); Multi-objective optimization; Field (mathematics); Real-time computing; Mathematical optimization; Wireless; Wireless network; Computer network; Artificial intelligence; Machine learning; Mathematics; Telecommunications; Engineering","authors":[{"name":"Arouna Ndam Njoya","is_ca":false},{"name":"Wahabou Abdou","is_ca":false},{"name":"Albert Dipandà","is_ca":false},{"name":"Emmanuel Tonyé","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02495240038548186,"gpt":0.2702651891570281,"spread":0.2453127887715463,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001510478,0.001283328,0.001288991,0.001003816,0.0004629717,0.001047037,0.001084481,0.001448688,0.001427729],"category_scores_gemma":[0.004622687,0.0008167178,0.0007781368,0.001097983,0.0006646256,0.001213318,0.00102378,0.0008841328,0.0002203949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008639016,"about_ca_system_score_gemma":0.0008191976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003349755,"about_ca_topic_score_gemma":0.002991473,"domain_scores_codex":[0.9993988,0.0002775043,0.00002381385,0.00008230478,0.0001375324,0.00008002458],"domain_scores_gemma":[0.9987277,0.0008520504,0.0001287416,0.00005081822,0.000194613,0.00004597729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001152587,0.00000989466,0.0001016361,0.00001102541,0.0000103105,0.00001325338,0.000006476471,0.9955473,0.0002358673,0.0005587475,0.00006665441,0.003427321],"study_design_scores_gemma":[0.000003015531,0.000009153078,0.00004025742,0.000001717592,0.000002487167,0.000002571579,0.00000343123,0.9995102,0.00008015549,0.0003069956,0.00003884199,0.000001110491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05644631,0.0004434751,0.9384722,0.0002453181,0.00006329059,0.00007455725,0.0000490539,0.0001738538,0.004032042],"genre_scores_gemma":[0.8255088,0.0003485266,0.1705633,0.00007133629,0.00003100796,0.0002204121,0.0000930887,0.00007367771,0.003089818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003349755,"threshold_uncertainty_score":0.007988214,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2618554223","doi":"10.1007/s40860-017-0041-2","title":"Complex behavioral pattern mining in non-intrusive sensor-based smart homes using an intelligent activity inference engine","year":2017,"lang":"en","type":"article","venue":"Journal of Reliable Intelligent Environments","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Inference engine; Home automation; Robustness (evolution); Inference; Smart environment; Reusability; Ambient intelligence; Activity recognition; Behavioral pattern; Human–computer interaction; Enhanced Data Rates for GSM Evolution; Software; Human behavior; Embedded system; Artificial intelligence; Software engineering; Telecommunications","authors":[{"name":"Jianguo Hao","is_ca":true},{"name":"Abdenour Bouzouane","is_ca":true},{"name":"Sébastien Gaboury","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09841432985682014,"gpt":0.3351219274051226,"spread":0.2367075975483025,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003797008,0.0003712968,0.0006453921,0.0008580806,0.0002134681,0.0004036239,0.0006068759,0.0003361644,0.0005452634],"category_scores_gemma":[0.001005686,0.0001804905,0.0004526477,0.0005919667,0.0001399507,0.0004137667,0.0003246035,0.0003097364,0.0001848378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002190561,"about_ca_system_score_gemma":0.0004373846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004447822,"about_ca_topic_score_gemma":0.00791234,"domain_scores_codex":[0.999709,0.00005072543,0.00003774537,0.00008992348,0.00007210198,0.00004044438],"domain_scores_gemma":[0.9996048,0.000194357,0.000045981,0.00004020498,0.00008748649,0.00002728454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001013124,0.001543988,0.1153892,0.0002319298,0.0004440874,0.000990252,0.0003373925,0.1273439,0.03992016,0.001642791,0.001905153,0.7092381],"study_design_scores_gemma":[0.0000107079,0.00009222611,0.01813261,0.000006320206,0.00004740304,0.000157705,0.00007588396,0.9759487,0.004485899,0.0007913322,0.0002436366,0.00000753056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6080282,0.0003174736,0.388784,0.0001334994,0.0000387145,0.00009347014,0.0004645149,0.001181199,0.0009589497],"genre_scores_gemma":[0.9430002,0.00008689726,0.05594004,0.00002670239,0.00001036248,0.00003593398,0.0003549762,0.00001327686,0.0005316705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004447822,"threshold_uncertainty_score":0.008843839,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3017571824","doi":"10.1007/s40860-020-00104-3","title":"A smart cooking device for assisting cognitively impaired users","year":2020,"lang":"en","type":"article","venue":"Journal of Reliable Intelligent Environments","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Dignity; Computer science; Autonomy; Human–computer interaction; Cognitive impairment; Cognition; Tragedy (event); Internet privacy; Computer security; Medicine","authors":[{"name":"Bruno Bouchard","is_ca":true},{"name":"Kévin Bouchard","is_ca":true},{"name":"Abdenour Bouzouane","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06903320538906865,"gpt":0.2717440919326478,"spread":0.2027108865435791,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000135411,0.000498984,0.0004833697,0.0002995124,0.0002759363,0.0003452307,0.0006349688,0.0007668118,0.009890674],"category_scores_gemma":[0.0003150709,0.0001593222,0.0002898208,0.0001551052,0.0001391617,0.0005110484,0.0008908581,0.0003405443,0.002620535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005636082,"about_ca_system_score_gemma":0.0001660895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003526238,"about_ca_topic_score_gemma":0.0006314011,"domain_scores_codex":[0.9999379,0.00001106183,0.000006641746,0.00001857971,0.00001267962,0.00001316633],"domain_scores_gemma":[0.9998716,0.00003662604,0.000008820666,0.00001669922,0.00003245915,0.00003374783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004409696,0.001517526,0.01434944,0.001176028,0.0001392099,0.004720917,0.00121754,0.0007053525,0.3861918,0.001208042,0.02308074,0.5612838],"study_design_scores_gemma":[0.00351166,0.02374326,0.2257226,0.001196003,0.002275498,0.05461482,0.005743437,0.07577828,0.3536689,0.004391878,0.2484572,0.0008965161],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8262842,0.00157393,0.1457323,0.0009833543,0.0007045159,0.0006028498,0.00208494,0.006414009,0.01561999],"genre_scores_gemma":[0.9041321,0.0008230158,0.06286432,0.0009185079,0.00008827649,0.0004998205,0.0009156087,0.0001197538,0.02963865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009890674,"threshold_uncertainty_score":0.03308761,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4315786477","doi":"10.1007/s40860-022-00199-w","title":"Two-stage RFID approach for localizing objects in smart homes based on gradient boosted decision trees with under- and over-sampling","year":2023,"lang":"en","type":"article","venue":"Journal of Reliable Intelligent Environments","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Fonds de Recherche du Québec-Société et Culture","keywords":"Computer science; Home automation; Object (grammar); Identification (biology); Artificial intelligence; Cluster analysis; Task (project management); Machine learning; Sampling (signal processing); Radio-frequency identification; Smart environment; Decision tree; Real-time computing; Data mining; Computer vision; Embedded system; Internet of Things; Telecommunications; Computer security","authors":[{"name":"Shadi Abudalfa","is_ca":false},{"name":"Kévin Bouchard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02094887574497414,"gpt":0.2469204785777405,"spread":0.2259716028327663,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00116841,0.0007659267,0.00191215,0.0006696596,0.0006088066,0.0008228245,0.0020632,0.001162458,0.001850002],"category_scores_gemma":[0.001852178,0.0006175905,0.0009927767,0.000831074,0.0003879129,0.001319052,0.00113503,0.001195284,0.000502805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005133572,"about_ca_system_score_gemma":0.001236635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006016035,"about_ca_topic_score_gemma":0.008268305,"domain_scores_codex":[0.9990985,0.0002242764,0.00006020598,0.000250132,0.0002072734,0.0001595859],"domain_scores_gemma":[0.9989096,0.0005794158,0.00006802739,0.00008195823,0.0002815881,0.0000794314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000797186,0.0004470186,0.004297794,0.0002309503,0.000200138,0.0002813428,0.0002400848,0.5591596,0.01101504,0.005159016,0.00336146,0.4148104],"study_design_scores_gemma":[0.000009929554,0.00005284761,0.0002352312,0.000003223716,0.00001806828,0.00002502907,0.0000139109,0.9978782,0.0007169875,0.0008788623,0.0001624295,0.000005194595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02622316,0.0002725543,0.972002,0.0001089245,0.00005657705,0.00004677631,0.00006246528,0.0005800261,0.0006473968],"genre_scores_gemma":[0.675879,0.0002011469,0.3196594,0.0002295895,0.00009797331,0.0001294457,0.0003265793,0.00008867956,0.003388169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006016035,"threshold_uncertainty_score":0.01196206,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2803894952","doi":"10.1007/s40860-018-0058-1","title":"Group abstraction for assisted navigation of social activities in intelligent environments","year":2018,"lang":"en","type":"article","venue":"Journal of Reliable Intelligent Environments","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Planner; Abstraction; Human–computer interaction; Motion (physics); Artificial intelligence; Cluster analysis; Key (lock); Trajectory; Computer security","authors":[{"name":"Thomas Given-Wilson","is_ca":false},{"name":"Axel Legay","is_ca":false},{"name":"Sean Sedwards","is_ca":true},{"name":"Olivier Zendra","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0156142871631159,"gpt":0.2557812660984084,"spread":0.2401669789352925,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005451646,0.0007918706,0.001117911,0.001042783,0.0007887347,0.0009658686,0.001440769,0.0006687712,0.002834098],"category_scores_gemma":[0.001553767,0.0002588614,0.0007948792,0.0008708651,0.0003878895,0.001169554,0.002828559,0.0009447958,0.0006361739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004064785,"about_ca_system_score_gemma":0.0009015228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01056431,"about_ca_topic_score_gemma":0.01318656,"domain_scores_codex":[0.9996952,0.0000622277,0.00001667427,0.00006603183,0.00008827209,0.00007161989],"domain_scores_gemma":[0.999467,0.0001730973,0.0000484455,0.0001493211,0.00009301122,0.00006909332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001525511,0.0005993527,0.01011628,0.0003643614,0.0003018105,0.0006112902,0.002560232,0.3019653,0.0268242,0.03036399,0.0114249,0.6133428],"study_design_scores_gemma":[0.00004690773,0.0001339477,0.001813985,0.00002132939,0.00006166899,0.00006903538,0.0003206803,0.9772862,0.004338393,0.0126907,0.003193987,0.00002313447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08721435,0.0002210433,0.9076385,0.00008339585,0.0001080921,0.00009247432,0.0002449012,0.002567577,0.001829604],"genre_scores_gemma":[0.7275413,0.0001797844,0.2686941,0.00004949717,0.00003985069,0.0001010386,0.0006370505,0.0001167045,0.002640639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01056431,"threshold_uncertainty_score":0.02100569,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399848067","doi":"10.1007/s40860-024-00225-z","title":"A formal model-based approach to design failure-aware Internet of Things architectures","year":2024,"lang":"en","type":"article","venue":"Journal of Reliable Intelligent Environments","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Internet of Things; World Wide Web","authors":[{"name":"Imene Ben Hafaiedh","is_ca":false},{"name":"Amani Elaoud","is_ca":true},{"name":"Asma Maddouri","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01753412876515442,"gpt":0.2334853843987391,"spread":0.2159512556335847,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001986926,0.0009551416,0.0006599302,0.0009966424,0.001032476,0.002738689,0.002641083,0.001296847,0.003108259],"category_scores_gemma":[0.004236702,0.0009096473,0.001979263,0.0006043487,0.002066249,0.002653486,0.002117955,0.002507407,0.0006039375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635362,"about_ca_system_score_gemma":0.002805792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004452669,"about_ca_topic_score_gemma":0.008867344,"domain_scores_codex":[0.9985216,0.0004509043,0.0001245886,0.000132096,0.0006173343,0.000153446],"domain_scores_gemma":[0.9983399,0.0007780648,0.0001630846,0.0002800063,0.0003675646,0.00007141252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003851013,0.0001534392,0.0004885701,0.0003153805,0.00009191067,0.0003049256,0.0003995463,0.4107884,0.005746313,0.5519827,0.002208598,0.02748162],"study_design_scores_gemma":[0.00003644406,0.00006740249,0.00009984869,0.0001243556,0.00007847063,0.0001115445,0.0001086388,0.762862,0.003180702,0.2177082,0.01559037,0.00003210995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001912342,0.0001120332,0.9946499,0.0003022711,0.00005297145,0.00009057858,0.00004682857,0.0002153839,0.002617622],"genre_scores_gemma":[0.1837263,0.0006453912,0.8092679,0.0003501539,0.0001002237,0.0006482185,0.0002526909,0.0001977254,0.004811451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004452669,"threshold_uncertainty_score":0.01186538,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414305964","doi":"10.1007/s40860-025-00255-1","title":"A uniform approach to HAR recognition in unobtrusive indoor monitoring systems","year":2025,"lang":"en","type":"article","venue":"Journal of Reliable Intelligent Environments","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"Politecnico di Milano","keywords":"Activity recognition; Generalization; Train; Face (sociological concept); Artificial neural network; Reductionism; Detector","authors":[{"name":"Fabio Salice","is_ca":false},{"name":"Davide Mangano","is_ca":false},{"name":"Kévin Bouchard","is_ca":true},{"name":"Sara Comai","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03017455449104906,"gpt":0.2581912356326163,"spread":0.2280166811415673,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009940664,0.001131871,0.001102083,0.0009942017,0.0003236397,0.00101538,0.001862987,0.0008859053,0.001110689],"category_scores_gemma":[0.00287775,0.0004494596,0.0007734844,0.0009783822,0.0004685286,0.001246421,0.001686136,0.001322045,0.001015147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005238379,"about_ca_system_score_gemma":0.0007369389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004102046,"about_ca_topic_score_gemma":0.006911869,"domain_scores_codex":[0.9985806,0.0002736913,0.00007451349,0.0006024818,0.0003331205,0.0001357022],"domain_scores_gemma":[0.9992179,0.0001536545,0.00008915034,0.0002523214,0.0002434214,0.00004354166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003116712,0.0004981526,0.009191901,0.0002852749,0.0002547704,0.0002262046,0.0001606028,0.3353805,0.02763114,0.002388557,0.005545959,0.6181253],"study_design_scores_gemma":[0.000006403799,0.0001156408,0.004251612,0.00001683067,0.00002290275,0.00009572635,0.00004575976,0.9850112,0.007333214,0.001712677,0.001370303,0.00001783413],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07383563,0.0007433613,0.9180264,0.0002650268,0.0001227462,0.0001469717,0.0005212679,0.004333609,0.002005037],"genre_scores_gemma":[0.7530245,0.0004253819,0.2412886,0.000257445,0.00009527593,0.0002384211,0.001861635,0.0001299899,0.002678844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004102046,"threshold_uncertainty_score":0.008156359,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}