{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"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":"2f00b27f21a6","filters":{"venue":"Global Society of Scientific Research and Researchers - International Journal of Computer"}},"results":[{"id":"W2604260836","doi":"","title":"Binary Image Segmentation Using Classification Methods: Support Vector Machines, Artificial Neural Networks and Kth Nearest Neighbours","year":2017,"lang":"en","type":"article","venue":"Global Society of Scientific Research and Researchers - International Journal of Computer","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Support vector machine; Pattern recognition (psychology); Artificial intelligence; Artificial neural network; Kernel (algebra); Radial basis function; Computer science; Pixel; Quadratic function; Hyperparameter optimization; Discriminative model; Mathematics; Quadratic equation","authors":[{"name":"Saman Sarraf","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1525703971047019,"gpt":0.4447131537014138,"spread":0.2921427565967119,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001703089,0.0008385821,0.001021606,0.002112722,0.0004227145,0.001177877,0.0008038974,0.001170496,0.0009130095],"category_scores_gemma":[0.004627596,0.0003549239,0.0006061915,0.002130593,0.0005973746,0.001475384,0.0005380707,0.0005521799,0.0004867926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006204409,"about_ca_system_score_gemma":0.0005852021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002448394,"about_ca_topic_score_gemma":0.002301499,"domain_scores_codex":[0.9987307,0.0003648674,0.0001212763,0.0002337375,0.0004667749,0.0000824755],"domain_scores_gemma":[0.9986137,0.0006251513,0.0002675575,0.0001066479,0.0003587801,0.00002802988],"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":[0.0008929024,0.000228249,0.005360982,0.0009510319,0.0001715326,0.000230173,0.0002308684,0.1725241,0.04856772,0.005140161,0.001877355,0.7638249],"study_design_scores_gemma":[0.00001969692,0.0001639224,0.004335996,0.00005634941,0.00004019916,0.0002750336,0.00009004095,0.9601297,0.03021305,0.00290896,0.001724699,0.00004232234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09692067,0.002184829,0.8962488,0.000248529,0.00013268,0.0001257771,0.0001355579,0.001584877,0.00241824],"genre_scores_gemma":[0.579825,0.0008586133,0.4166743,0.00005408987,0.00006315152,0.0001965897,0.0002305946,0.0001008495,0.001996757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002448394,"threshold_uncertainty_score":0.009006858,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7046637919","doi":"","title":"Determinants Of Online Tax Payment System In Canada","year":2014,"lang":"en","type":"article","venue":"Global Society of Scientific Research and Researchers - International Journal of Computer","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Payment; Work (physics); Payment system; Income tax; Government (linguistics); Information system; Payment service provider; Data collection","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.04974202025583068,"gpt":0.3537763708936049,"spread":0.3040343506377742,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009619518,0.0002043757,0.0004236604,0.002199576,0.003755264,0.004567553,0.001914855,0.001179705,0.01961378],"category_scores_gemma":[0.01049124,0.0004506784,0.0006954568,0.005319245,0.001220065,0.0009401995,0.001202596,0.002423323,0.001035876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04693945,"about_ca_system_score_gemma":0.0826028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945726,"about_ca_topic_score_gemma":0.9969808,"domain_scores_codex":[0.9980826,0.0001692737,0.0001054542,0.000187543,0.0005118632,0.0009433173],"domain_scores_gemma":[0.9795042,0.003497569,0.003579825,0.0004193154,0.006686431,0.006312647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002750569,0.0002374927,0.9493177,0.00005045481,0.0001000116,0.0003730628,0.001566367,0.001728198,0.0001949895,0.01225424,0.02356105,0.01034144],"study_design_scores_gemma":[0.00006457019,0.00005359054,0.9661011,0.0001505516,0.0001044241,0.0001536749,0.009229226,0.004771713,0.000296178,0.0009544421,0.01805745,0.00006311179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663048,0.0008099469,0.0002276109,0.008835924,0.00008371782,0.00008588494,0.006151321,0.00005601183,0.01744478],"genre_scores_gemma":[0.9879512,0.0004281005,0.0001176628,0.0003691758,0.00002155957,0.00001220701,0.0009333599,0.00001975109,0.01014692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04693945,"threshold_uncertainty_score":0.3405711,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6995957707","doi":"","title":"Random Walk in the Age of GNNs: Unveiling Its Continued Relevance and Applications","year":2024,"lang":"en","type":"other","venue":"Global Society of Scientific Research and Researchers - International Journal of Computer","topic":"","field":"","cited_by":0,"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":"Random walk; Relevance (law); Graph; Feature (linguistics); Heterogeneous random walk in one dimension; Artificial neural network; Random graph","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.08747024715358032,"gpt":0.4189233600063907,"spread":0.3314531128528104,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001798435,0.0006107856,0.0009115079,0.001339706,0.000713493,0.002094152,0.00124019,0.001875118,0.00226655],"category_scores_gemma":[0.01658837,0.0004020168,0.0007297414,0.001124279,0.002491832,0.005903968,0.001367555,0.003259785,0.000611181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001252541,"about_ca_system_score_gemma":0.000659482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003389223,"about_ca_topic_score_gemma":0.003752687,"domain_scores_codex":[0.9991714,0.0003846805,0.0000254815,0.0002027402,0.000160996,0.00005471086],"domain_scores_gemma":[0.9914042,0.006457279,0.0004037107,0.0007484441,0.0007103956,0.0002759421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001114703,0.00005604752,0.003689293,0.0003807929,0.0001220167,0.0002688973,0.0003395108,0.2324771,0.002373097,0.671755,0.006650805,0.08177597],"study_design_scores_gemma":[0.00001013476,0.00004871031,0.0004969283,0.00008326048,0.0000224818,0.0001324063,0.00006364508,0.4538377,0.00059785,0.5344448,0.01023456,0.00002746655],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0747045,0.01712721,0.8737028,0.01367886,0.0008459451,0.00006405686,0.0003619574,0.0009311996,0.01858344],"genre_scores_gemma":[0.7916085,0.01402563,0.1827369,0.002128879,0.00102294,0.0001188156,0.0003912396,0.0004010629,0.007566103],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003389223,"threshold_uncertainty_score":0.009511173,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6987819074","doi":"","title":"Utilizing NLP Sentiment Analysis Approach to Categorize Amazon Reviews against an Extended Testing Set","year":2024,"lang":"en","type":"article","venue":"Global Society of Scientific Research and Researchers - International Journal of Computer","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Sentiment analysis; Random forest; Preprocessor; Categorization; Support vector machine; Bag-of-words model; Set (abstract data type); Feature (linguistics); Feature extraction; Product (mathematics)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.2396509484240729,"gpt":0.4432112019641853,"spread":0.2035602535401125,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001966537,0.0009557834,0.0006190844,0.003101289,0.000399317,0.0009842297,0.0005186331,0.0004289019,0.002117752],"category_scores_gemma":[0.009780237,0.0001166412,0.0006963474,0.001780047,0.0002498716,0.0008171253,0.0006341572,0.0006009543,0.002117961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005862379,"about_ca_system_score_gemma":0.0005747728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004188361,"about_ca_topic_score_gemma":0.006549393,"domain_scores_codex":[0.9979582,0.0003972286,0.0003061149,0.0005065321,0.0007343818,0.00009757704],"domain_scores_gemma":[0.9936014,0.002521605,0.0007712627,0.0004565901,0.002522683,0.0001265453],"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":[0.001712377,0.001158371,0.2009509,0.001203638,0.0004922287,0.001334817,0.00153068,0.01094633,0.0696298,0.001800057,0.02841048,0.6808303],"study_design_scores_gemma":[0.0001456048,0.001810457,0.3493844,0.0002026653,0.0003173003,0.001448892,0.003758064,0.5371829,0.06946796,0.002780616,0.0333557,0.0001452977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8990248,0.0007364457,0.06656042,0.0005235252,0.0002906862,0.001566618,0.01664011,0.002231922,0.01242557],"genre_scores_gemma":[0.9032556,0.0001766664,0.07435103,0.0001693166,0.0001168419,0.0009929246,0.01757079,0.0001001591,0.003266693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004188361,"threshold_uncertainty_score":0.01040018,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}