{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":5,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":5,"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":"ab553d08acef","filters":{"venue":"Proceedings of International Conference on Artificial Life and Robotics"}},"results":[{"id":"W4384159338","doi":"10.5954/icarob.2023.os25-2","title":"Multi Chaotic Flow Direction Algorithm for Feature Selection","year":2023,"lang":"en","type":"article","venue":"Proceedings of International Conference on Artificial Life and Robotics","topic":"Neural Networks and Applications","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Algorithm; Feature selection; Chaotic; Feature (linguistics); Computer science; Selection (genetic algorithm); Flow (mathematics); Pattern recognition (psychology); Artificial intelligence; Mathematics; Geometry","authors":[{"name":"Wy-Liang Cheng","is_ca":false},{"name":"Li Pan","is_ca":false},{"name":"Mohd Rizon Bin Mohamed Juhari","is_ca":false},{"name":"Abhishek Sharma","is_ca":false},{"name":"Hameedur Rahman","is_ca":true},{"name":"Chun Kit Ang","is_ca":false},{"name":"Sew Sun Tiang","is_ca":false},{"name":"Wei Hong Lim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05668885262158308,"gpt":0.3010376655827179,"spread":0.2443488129611348,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007298019,0.0006708807,0.0007484183,0.001407971,0.0004779985,0.000750335,0.0008115341,0.0007809232,0.002585387],"category_scores_gemma":[0.001763725,0.0002586344,0.0007269117,0.001230849,0.0003015596,0.0006857321,0.0005297031,0.0006518777,0.0005794988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004270074,"about_ca_system_score_gemma":0.001059553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002512746,"about_ca_topic_score_gemma":0.002082316,"domain_scores_codex":[0.9995723,0.00008451942,0.0000382578,0.00009533454,0.0001637241,0.00004579509],"domain_scores_gemma":[0.999606,0.0001343906,0.00004034337,0.00003258881,0.0001701076,0.00001647316],"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":[0.0002132475,0.0001111481,0.002044646,0.0001713357,0.00008608239,0.0001020066,0.0001131245,0.1675861,0.01774014,0.008005539,0.005859615,0.7979671],"study_design_scores_gemma":[0.00004925567,0.0001035339,0.0008562544,0.00001278663,0.00001604315,0.0001082544,0.00002752347,0.9848867,0.005640029,0.00291443,0.005367054,0.00001808241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01953706,0.0004647114,0.9770581,0.0001558412,0.00007047853,0.0001655457,0.000115894,0.0006091291,0.001823251],"genre_scores_gemma":[0.2378137,0.0003432954,0.7560549,0.0001417146,0.00006053626,0.0007210614,0.0006297826,0.0000841117,0.004150835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002585387,"threshold_uncertainty_score":0.008648992,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409913388","doi":"10.5954/icarob.2025.os8-6","title":"Accurate Brain Age Prediction Through Advanced Preprocessing and 3D ResNet-50 Modeling","year":2025,"lang":"en","type":"article","venue":"Proceedings of International Conference on Artificial Life and Robotics","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Science and Technology Council; National Science Council","keywords":"Residual neural network; Computer science; Preprocessor; Artificial intelligence; Deep learning","authors":[{"name":"Ting‐An Chang","is_ca":false},{"name":"C. S. Yeh","is_ca":false},{"name":"Chunliang Liu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09843435204345852,"gpt":0.3340336790936559,"spread":0.2355993270501974,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008174852,0.001213228,0.0005031274,0.0008482509,0.0002244371,0.0005721203,0.001140198,0.0007897008,0.001308297],"category_scores_gemma":[0.001787236,0.0004202782,0.0009737288,0.0003850079,0.0002818244,0.0007529415,0.0005845201,0.0008529811,0.0007896139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007820097,"about_ca_system_score_gemma":0.001030753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01631718,"about_ca_topic_score_gemma":0.02438401,"domain_scores_codex":[0.9998204,0.00003574808,0.00001156136,0.00006309083,0.00004028766,0.00002894523],"domain_scores_gemma":[0.9996703,0.0001136844,0.0000419667,0.0000438585,0.0001138397,0.00001641294],"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":[0.0001688422,0.0001035068,0.006862417,0.0000679564,0.0001113734,0.0001858343,0.00007484406,0.7993778,0.01175252,0.002276238,0.00414599,0.1748727],"study_design_scores_gemma":[0.000002878128,0.00002064959,0.0007851202,0.000006017229,0.00001152273,0.00003031561,0.000004669685,0.9943995,0.003157485,0.001030764,0.0005437153,0.00000739384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1815756,0.0009397404,0.8064563,0.0004935093,0.0002058518,0.0001190473,0.001289369,0.006341422,0.002579126],"genre_scores_gemma":[0.7997205,0.0005297133,0.1935272,0.0002550307,0.00004846849,0.0001868407,0.001985254,0.0002235203,0.00352354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01631718,"threshold_uncertainty_score":0.03244442,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4395659980","doi":"10.5954/icarob.2024.os14-2","title":"Robotic Food Handling Utilizing Temperature Dependent Variable-Stiffness Material","year":2024,"lang":"en","type":"article","venue":"Proceedings of International Conference on Artificial Life and Robotics","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Stiffness; Variable (mathematics); Environmental science; Computer science; Materials science; Composite material; Mathematics; Mathematical analysis","authors":[{"name":"Rozilyn Marco","is_ca":true},{"name":"Prashant Kumar","is_ca":false},{"name":"Xinyi Zhang","is_ca":false},{"name":"Weiwei Wan","is_ca":false},{"name":"Kensuke Harada","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03837912810923181,"gpt":0.2551134865882848,"spread":0.216734358479053,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001458108,0.0002814651,0.0002043266,0.0001385938,0.0001998756,0.0003398638,0.0004339735,0.0003314303,0.0006423187],"category_scores_gemma":[0.0002233344,0.0001854042,0.00022144,0.00008434584,0.0003089083,0.0006034329,0.0003939155,0.0002185119,0.0003589414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001205605,"about_ca_system_score_gemma":0.0001015553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007536921,"about_ca_topic_score_gemma":0.0001264102,"domain_scores_codex":[0.9998859,0.00001166777,0.000007480015,0.00003402381,0.00004527391,0.00001554586],"domain_scores_gemma":[0.9998245,0.0000383124,0.00006189517,0.00003908764,0.00002184922,0.00001448091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008584239,0.00003470205,0.0002927094,0.00009766284,0.000007820821,0.0002028347,0.00004883042,0.007673288,0.9766575,0.0008191387,0.00009665169,0.01398303],"study_design_scores_gemma":[0.00003915449,0.0008479996,0.003114897,0.00001911008,0.00001888681,0.0008108053,0.00003524366,0.08309714,0.9040484,0.001035727,0.006876685,0.00005606253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.73498,0.0007668306,0.257137,0.0000970738,0.0001141658,0.00006926505,0.00004333839,0.0007119676,0.006080308],"genre_scores_gemma":[0.9294017,0.0001854291,0.0674985,0.00003848698,0.00001291894,0.00002862189,0.00002934862,0.00004494129,0.002759992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006423187,"threshold_uncertainty_score":0.002148807,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4221126921","doi":"10.5954/icarob.2022.os23-5","title":"Recommendation an Emergency Patient Destinations by LightGBM","year":2022,"lang":"en","type":"article","venue":"Proceedings of International Conference on Artificial Life and Robotics","topic":"Innovation in Digital Healthcare Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Defence Medical Centre","funders":"","keywords":"Destinations; Medical emergency; Computer science; Medicine; Geography","authors":[{"name":"Ryota Kawaguchi","is_ca":false},{"name":"Masao Kubo","is_ca":false},{"name":"Hiroshi Sato","is_ca":false},{"name":"Daizoh Saitoh","is_ca":true},{"name":"Takao Oya","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1399538805810804,"gpt":0.4163656937983438,"spread":0.2764118132172635,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000595824,0.0008618191,0.001099157,0.003180023,0.0007236945,0.0009347181,0.001492532,0.001444154,0.004387633],"category_scores_gemma":[0.00226178,0.0003490287,0.001000522,0.002763676,0.0001927859,0.001254245,0.0008320969,0.000681753,0.002107877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009406338,"about_ca_system_score_gemma":0.001240383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03464499,"about_ca_topic_score_gemma":0.04416376,"domain_scores_codex":[0.999117,0.0001519365,0.00006631609,0.0002131276,0.0003228226,0.0001288239],"domain_scores_gemma":[0.9993067,0.000163582,0.00006783664,0.0001082866,0.0002801756,0.00007343646],"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":[0.00119928,0.0007267936,0.03279171,0.0006781838,0.0002843683,0.0003987107,0.000302423,0.04396578,0.01489027,0.002909169,0.06186474,0.8399885],"study_design_scores_gemma":[0.0002380508,0.0003446429,0.01276686,0.0001075462,0.000185269,0.0003813903,0.0003472126,0.9488244,0.008837602,0.00373293,0.02415011,0.00008389283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2598349,0.00716566,0.6872451,0.004456581,0.001381767,0.001298799,0.009836344,0.01268126,0.01609951],"genre_scores_gemma":[0.6990687,0.001193591,0.2802573,0.001061687,0.0003708802,0.000392245,0.006600407,0.0001283282,0.01092697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03464499,"threshold_uncertainty_score":0.0688867,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4384159314","doi":"10.5954/icarob.2023.os7-3","title":"Design of a Database-Driven Control System for a Web Conveyor","year":2023,"lang":"en","type":"article","venue":"Proceedings of International Conference on Artificial Life and Robotics","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Japan Society for the Promotion of Science; University of Tokushima; University of Alberta","keywords":"Database; Computer science; Database design; Web application; World Wide Web","authors":[{"name":"Atsushi Takatani","is_ca":false},{"name":"Takuya Kinioshita","is_ca":false},{"name":"Toru Yamamoto","is_ca":false},{"name":"Tomohiro Hirakawa","is_ca":false},{"name":"Hiroki Hamamoto","is_ca":false},{"name":"Takashi Ochiiwa","is_ca":false},{"name":"Hideki Tomiyama","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07413000913128082,"gpt":0.2664849405930081,"spread":0.1923549314617273,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006157039,0.0004744905,0.0006947195,0.0006228941,0.0006148738,0.001252831,0.002039523,0.0008275254,0.003890718],"category_scores_gemma":[0.0006497143,0.0003051205,0.0003767343,0.0003146623,0.0003229826,0.0006667016,0.0004971225,0.0005040969,0.001317951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005447055,"about_ca_system_score_gemma":0.0008188472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002631329,"about_ca_topic_score_gemma":0.001214981,"domain_scores_codex":[0.9993097,0.0000623394,0.00005593858,0.000253559,0.0002580579,0.00006042591],"domain_scores_gemma":[0.9995435,0.00006380261,0.00004351997,0.0000569729,0.0002477676,0.00004452072],"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":[0.001237771,0.0006832578,0.003184119,0.0006537099,0.0002269007,0.001187371,0.0006477094,0.0625825,0.3869834,0.02187331,0.01317923,0.5075607],"study_design_scores_gemma":[0.0005277485,0.001115475,0.002448736,0.00004449099,0.0001211496,0.0009465345,0.00007761409,0.8208799,0.1442479,0.002080091,0.02738579,0.0001245577],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02271897,0.0002531604,0.9660855,0.0002025043,0.0001715368,0.000479154,0.0001399475,0.006144544,0.003804724],"genre_scores_gemma":[0.7737418,0.0001787565,0.2177217,0.0003464855,0.0001498297,0.0008417606,0.0002722858,0.0001180542,0.006629326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003890718,"threshold_uncertainty_score":0.01301575,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}