{"id":"W4413554756","doi":"10.64628/aap.fhpsjkk4g","title":"Covid-19 : pourquoi les données sont si importantes","year":2020,"lang":"fr","type":"preprint","venue":"","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Philosophy; Medicine; Infectious disease (medical specialty)","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":[],"consensus_categories":[],"category_scores_codex":[0.03155989,0.002913278,0.00225393,0.007979671,0.003400831,0.01594686,0.002862693,0.005583628,0.06271349],"category_scores_gemma":[0.1766684,0.001987102,0.003474616,0.007753387,0.001618442,0.01214,0.007494387,0.00694539,0.04204992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003984796,"about_ca_system_score_gemma":0.01400514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04790191,"about_ca_topic_score_gemma":0.03866639,"domain_scores_codex":[0.9444308,0.01775082,0.007822298,0.006363688,0.02136198,0.0022705],"domain_scores_gemma":[0.8994372,0.05838674,0.002584279,0.01358426,0.023432,0.002575486],"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":[0.001027329,0.0001672163,0.01050466,0.004774722,0.0004740832,0.0006687841,0.002402358,0.001838263,0.004416026,0.03583974,0.7737496,0.1641373],"study_design_scores_gemma":[0.0002187551,0.00008217865,0.006432572,0.002581586,0.0002197583,0.0008219272,0.002067925,0.01003705,0.006068721,0.02752426,0.943737,0.000208286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.01660345,0.00740277,0.2512763,0.04580959,0.007019384,0.001582018,0.539072,0.05318473,0.07804976],"genre_scores_gemma":[0.07105482,0.006224366,0.3485357,0.005874213,0.001590149,0.001600802,0.5082414,0.01747299,0.0394056],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.06271349,"threshold_uncertainty_score":0.2097975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3571163102453706,"score_gpt":0.5115451866710752,"score_spread":0.1544288764257046,"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."}}