{"id":"W1889132145","doi":"10.4000/hommesmigrations.3039","title":"Kamel Daoud, Meursault, contre-enquête","year":2014,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"Historical and Scientific Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Animal science; Mathematics; Biology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003967955,0.00024596,0.0004545555,0.0001115976,0.0005774164,0.0000633543,0.0001644439,0.0001474356,0.001230735],"category_scores_gemma":[0.0009837163,0.0002115922,0.0002164767,0.0004560803,0.0004218492,0.0001251543,0.00005910529,0.0002884543,0.003246854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001583829,"about_ca_system_score_gemma":0.00010672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005571021,"about_ca_topic_score_gemma":0.00121336,"domain_scores_codex":[0.9980646,0.000152273,0.0004322657,0.0004261083,0.0003668563,0.0005578414],"domain_scores_gemma":[0.9983736,0.0004553126,0.0001031165,0.0004997564,0.0002266181,0.0003415522],"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":[0.00001353412,0.0003193171,0.002459389,0.00006074933,0.0001033054,0.00001215136,0.003108396,0.000006793979,0.001066989,0.009718123,0.9251263,0.05800492],"study_design_scores_gemma":[0.0008339052,0.0001842106,0.005029028,0.0001715667,0.0003445663,0.00001733585,0.001188912,0.002109676,0.0002019923,0.0006143233,0.9890788,0.0002257532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.02183044,0.7263553,0.0140587,0.09562295,0.02373215,0.001006174,0.0003463885,0.0002956814,0.1167522],"genre_scores_gemma":[0.3736595,0.0008000127,0.0008299431,0.001697853,0.002148067,0.00005783846,0.000073629,0.00002354603,0.6207097],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7255553,"threshold_uncertainty_score":0.9996822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527968824658589,"score_gpt":0.2690576734413619,"score_spread":0.2437779851947761,"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."}}