{"id":"W2619796814","doi":"10.26522/vp.v14i1.1552","title":"Entretien avec Magda Carneci","year":2017,"lang":"fr","type":"article","venue":"Voix Plurielles","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006415106,0.0004077378,0.0005391653,0.00008264763,0.004191612,0.0002284128,0.0009187103,0.0009375873,0.004269715],"category_scores_gemma":[0.0009214951,0.0004171309,0.0002850378,0.00007514369,0.0008429715,0.0004125857,0.0005832473,0.001208559,0.004334498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001817036,"about_ca_system_score_gemma":0.000510273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0197373,"about_ca_topic_score_gemma":0.007454263,"domain_scores_codex":[0.9965488,0.00063753,0.0006063146,0.0005742842,0.0004390986,0.001193956],"domain_scores_gemma":[0.9968019,0.0005092249,0.0006159759,0.001347686,0.000275694,0.0004495055],"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":[0.00004583492,0.0001549586,0.05106929,0.0005299462,0.0001688395,0.0002054341,0.6976219,0.000002269738,0.00001654646,0.03129597,0.1939384,0.02495065],"study_design_scores_gemma":[0.0008122312,0.0000765945,0.01653481,0.0007802285,0.0001518189,0.000002884985,0.05075302,0.00008204622,0.0001116092,0.007967126,0.9222497,0.0004779455],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5762661,0.02153252,0.0002745381,0.22101,0.01947368,0.001192658,0.0004425422,0.0002560563,0.1595519],"genre_scores_gemma":[0.5259634,0.003393995,0.0002783644,0.001971913,0.00421493,0.00003585717,0.00003136561,0.00007524018,0.4640349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7283113,"threshold_uncertainty_score":0.999828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188209436577278,"score_gpt":0.347779786816904,"score_spread":0.3158976924511312,"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."}}