{"id":"W6913026368","doi":"10.5683/sp3/xtexln","title":"Présentation du fichier de microdonnées du recensement 2016","year":2019,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Presentation (obstetrics); Report card; Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003139312,0.002030266,0.001505037,0.00543164,0.0009789543,0.00288254,0.001768941,0.001964429,0.01857485],"category_scores_gemma":[0.01167285,0.0005129407,0.001778989,0.004461396,0.0005949938,0.00169188,0.002608309,0.001556492,0.02080487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002942553,"about_ca_system_score_gemma":0.003698979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1235267,"about_ca_topic_score_gemma":0.2246215,"domain_scores_codex":[0.996971,0.0004655514,0.0003064184,0.0005779155,0.001385803,0.0002933593],"domain_scores_gemma":[0.994494,0.001576696,0.0004075138,0.0008848844,0.002199403,0.000437463],"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":[0.0001042239,0.00002050583,0.002878324,0.0008991924,0.00006108717,0.00007071599,0.00007286328,0.0006272901,0.0005953637,0.0004828678,0.9764776,0.0177098],"study_design_scores_gemma":[0.00004878764,0.00003168659,0.01161239,0.0004782054,0.00005042959,0.0001584485,0.0001836705,0.001136275,0.0009139678,0.0008845113,0.9844518,0.00004992299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001767391,0.002199235,0.0009635587,0.001830903,0.0007480256,0.00005426889,0.9862345,0.002015594,0.004186494],"genre_scores_gemma":[0.003269825,0.0008391477,0.002092385,0.0003771085,0.0001603562,0.0001001007,0.9881107,0.0001858368,0.004864634],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8764734,"threshold_uncertainty_score":0.2456153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02005720452894001,"score_gpt":0.2717085767629913,"score_spread":0.2516513722340513,"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."}}