{"id":"W6888449869","doi":"10.21227/jkmt-za31","title":"ReMouse - mouse dynamic dataset","year":2022,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Task (project management); Software; Sequence (biology); Set (abstract data type); Dynamics (music)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001713226,0.001400925,0.001370659,0.001056237,0.0005348188,0.0002836163,0.006333065,0.000595857,0.2066807],"category_scores_gemma":[0.0003194658,0.001573662,0.0002552242,0.001006408,0.0003327791,0.0008770304,0.002441792,0.002939027,0.08163638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001052016,"about_ca_system_score_gemma":0.0008662206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003592291,"about_ca_topic_score_gemma":0.003728957,"domain_scores_codex":[0.9916824,0.0004190176,0.001419811,0.002608973,0.00243768,0.001432086],"domain_scores_gemma":[0.9851239,0.0001483213,0.001262798,0.01282774,0.00008419168,0.0005530429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001367017,0.0005619899,0.000002379928,0.0002124587,0.0003144844,0.003021003,0.000005963205,0.00004343696,0.0003981201,7.913918e-7,0.995252,0.00005066314],"study_design_scores_gemma":[0.0007219421,0.000102882,0.000005386642,0.0000274817,0.0006401772,0.0005038538,0.00002548947,0.00002598445,0.00005097161,0.000006931947,0.996215,0.001673911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005840385,0.000140406,0.000004128257,0.00003207496,0.002617384,0.001068795,0.9956196,0.0004106301,0.00004859193],"genre_scores_gemma":[8.245144e-7,0.000392932,0.0001048672,0.0009119771,0.0003519228,0.000315475,0.9951726,0.0005240545,0.002225394],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1250444,"threshold_uncertainty_score":0.9998741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614496856595723,"score_gpt":0.3133371639142107,"score_spread":0.2871921953482535,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}