{"id":"W2137351437","doi":"10.3917/rfas.en605.0005","title":"Presentation of the issue","year":2006,"lang":"fr","type":"article","venue":"Revue française des affaires sociales","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Labour, Employment and Social Solidarity","funders":"","keywords":"Presentation (obstetrics); Computer science; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002579097,0.001302473,0.001219419,0.001600031,0.002126231,0.008919748,0.001835909,0.009465323,0.2502738],"category_scores_gemma":[0.01360344,0.0004677681,0.001271519,0.0006139793,0.0009296347,0.002744209,0.002374395,0.006921521,0.1593978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688017,"about_ca_system_score_gemma":0.003195379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001125294,"about_ca_topic_score_gemma":0.001540892,"domain_scores_codex":[0.9981883,0.0002388095,0.0001281491,0.0002986498,0.0008233953,0.0003226557],"domain_scores_gemma":[0.9930948,0.001016201,0.0003935531,0.0004019399,0.003408594,0.001685005],"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":[0.00003894394,0.0000152697,0.00007530914,0.00006450027,0.000004888209,0.00006216623,0.00001520352,0.0000161794,0.0001393197,0.000905898,0.9888728,0.009789425],"study_design_scores_gemma":[0.00001554207,0.00001761478,0.0003003303,0.00008461806,0.000006110439,0.00007677643,0.00004381616,0.00006649447,0.0001466532,0.0007950795,0.9984404,0.000006580041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003433971,0.004003659,0.0005069394,0.1387225,0.7999298,0.0001884866,0.0006802353,0.0002233257,0.05540156],"genre_scores_gemma":[0.005071491,0.003925228,0.000396527,0.05456442,0.3659167,0.0001987722,0.0007290205,0.0002587592,0.5689391],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.7497262,"threshold_uncertainty_score":0.8372493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04335634857595104,"score_gpt":0.2206092017876376,"score_spread":0.1772528532116866,"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."}}