{"id":"W2978373790","doi":"10.3917/sdes.008.0014","title":"Vieillir","year":2011,"lang":"fr","type":"article","venue":"Sens-Dessous","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Santé et de Services Sociaux de la Vieille-Capitale","funders":"","keywords":"Computer science","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","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.002667218,0.0003851253,0.0006962458,0.00008477511,0.001062721,0.000009312802,0.0002949623,0.002213454,0.009131578],"category_scores_gemma":[0.0008713954,0.0003596407,0.0002157583,0.0004129806,0.0004372018,0.0001756195,0.0001399373,0.004077461,0.01161363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003553164,"about_ca_system_score_gemma":0.001365982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005143949,"about_ca_topic_score_gemma":0.0005876201,"domain_scores_codex":[0.9939925,0.002197188,0.0009894099,0.0005701502,0.000450948,0.001799787],"domain_scores_gemma":[0.9966048,0.0009404667,0.0003230949,0.0008667977,0.0003240134,0.0009408524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009851947,0.0007328032,0.006897174,0.003114388,0.000184189,0.0006423586,0.470818,7.324069e-7,0.0002279528,0.02273955,0.4346539,0.05989044],"study_design_scores_gemma":[0.001680419,0.0004785738,0.02267819,0.001329526,0.0001747023,0.00006018061,0.07108149,0.0001430697,0.0001213276,0.003315553,0.8983583,0.0005787111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5116521,0.01859224,0.0006743579,0.03423151,0.02073115,0.001982193,0.0001447731,0.0004681944,0.4115235],"genre_scores_gemma":[0.8419231,0.005494153,0.004575953,0.04513728,0.005910938,0.00004912856,0.00002570847,0.0001619611,0.09672178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4637043,"threshold_uncertainty_score":0.9998856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1072717698629989,"score_gpt":0.3861574139793206,"score_spread":0.2788856441163217,"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."}}