{"id":"W6936215937","doi":"10.57745/tlflt6","title":"HeartRate_File.tab","year":2023,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001304428,0.003940019,0.00212152,0.00456006,0.001023009,0.003688135,0.003407481,0.003571076,0.2127213],"category_scores_gemma":[0.006015273,0.001281279,0.001951581,0.005711386,0.0006723243,0.002265006,0.002187848,0.002260177,0.3110308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002134355,"about_ca_system_score_gemma":0.002296263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02687076,"about_ca_topic_score_gemma":0.03246624,"domain_scores_codex":[0.9987333,0.0002039321,0.0001074581,0.0004279578,0.0002882605,0.0002390135],"domain_scores_gemma":[0.9971576,0.0008517382,0.0001697393,0.0008873584,0.0006381908,0.0002954116],"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":[0.00005512613,0.00001901228,0.0001621535,0.0003074469,0.0000184222,0.000009705826,0.00001258956,0.000120888,0.0001138636,0.0002395449,0.9974908,0.001450448],"study_design_scores_gemma":[0.0004209214,0.00004201493,0.002387244,0.0002181958,0.00002826933,0.00007942692,0.000061096,0.000589436,0.0009230795,0.001008013,0.9941927,0.00004948667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008848776,0.00005390676,0.00007105886,0.0000770445,0.00004380403,0.00001083115,0.9972811,0.001421438,0.0009523248],"genre_scores_gemma":[0.0003148681,0.00004569616,0.0002057796,0.00006349307,0.00001600648,0.0000416002,0.9979742,0.0003499415,0.000988392],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7872787,"threshold_uncertainty_score":0.7116236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5760770099534874,"score_gpt":0.4735028783443961,"score_spread":0.1025741316090913,"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."}}