{"id":"W7063797355","doi":"","title":"Accès et utilisation secondaire des données personnelles de santé : pourquoi, par qui et comment ?","year":2023,"lang":"fr","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identity (music); Subject (documents); Perspective (graphical); Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.06678885,0.0009520919,0.001090446,0.0009193477,0.0009041885,0.001705712,0.003396943,0.000831831,0.8745703],"category_scores_gemma":[0.03907387,0.0009318213,0.0007377146,0.001144152,0.0009554756,0.0009647252,0.002091327,0.001033513,0.7693309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458901,"about_ca_system_score_gemma":0.001596593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001583061,"about_ca_topic_score_gemma":0.00988571,"domain_scores_codex":[0.9817159,0.006868522,0.001907146,0.004728788,0.003540829,0.001238785],"domain_scores_gemma":[0.9855505,0.006250157,0.001425969,0.00521729,0.0009603555,0.0005957435],"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":[0.0002372247,0.0007558053,0.06861421,0.0002576982,0.0005155883,0.00003171258,0.05020794,0.006279895,0.003188678,0.006592907,0.4832646,0.3800537],"study_design_scores_gemma":[0.001850355,0.000008845454,0.1051331,0.001619488,0.0003821394,0.00003542524,0.02614646,0.02550286,0.003759258,0.05705227,0.7770007,0.001509069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09177013,0.00004145541,0.00931068,0.00973641,0.003055315,0.00240294,0.0001327474,0.0004713681,0.8830789],"genre_scores_gemma":[0.1773076,0.0008753914,0.003600668,0.00141755,0.0003331258,0.0004034089,0.00008333365,0.0003497043,0.8156292],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3785447,"threshold_uncertainty_score":0.9993306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1520711578580324,"score_gpt":0.3709314857682354,"score_spread":0.218860327910203,"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."}}