{"id":"W2474477220","doi":"10.7202/1073219ar","title":"La mort en chiffres","year":2020,"lang":"fr","type":"article","venue":"Frontières","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Philosophy; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004151832,0.0002713304,0.0005045613,0.00004050767,0.0005389215,0.00004649203,0.0003587285,0.0006954326,0.004383716],"category_scores_gemma":[0.0005650582,0.0002767479,0.0001872617,0.0001685452,0.0002394377,0.0002153904,0.0002370024,0.001216428,0.002424421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009856702,"about_ca_system_score_gemma":0.0002609875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002234305,"about_ca_topic_score_gemma":0.001223679,"domain_scores_codex":[0.9966277,0.001548358,0.0004448073,0.0004010612,0.0003043214,0.0006737669],"domain_scores_gemma":[0.998632,0.0004645749,0.0001581768,0.0002504824,0.00008958268,0.0004052132],"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":[0.00002680395,0.00005672455,0.07414903,0.0005224764,0.0001018463,0.00008456092,0.3698666,0.000006128213,0.00001660568,0.006681328,0.5379764,0.01051147],"study_design_scores_gemma":[0.000481324,0.00008056944,0.04536208,0.0002949591,0.0001066891,0.000001031397,0.07531287,0.0002312928,0.00003137403,0.001544548,0.87626,0.0002932643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3317251,0.06947959,0.003380365,0.1519378,0.01147089,0.001249253,0.0003560678,0.000669807,0.4297311],"genre_scores_gemma":[0.9186478,0.001852207,0.001552182,0.01451732,0.008203619,0.00004301731,0.00004588561,0.00008928388,0.05504866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5869228,"threshold_uncertainty_score":0.9999685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03027493295507545,"score_gpt":0.3706081725398201,"score_spread":0.3403332395847447,"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."}}