{"id":"W6926258462","doi":"10.25318/3710008001-fra","title":"Formation des apprentis enregistrés, les achèvements selon les grands groupes de métiers et le sexe","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identity (music); Context (archaeology); Research methodology; Cannibalism","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001927633,0.0006388465,0.000585639,0.0002164981,0.001337928,0.0008433397,0.001051933,0.0003314134,0.00111747],"category_scores_gemma":[0.001775167,0.000705882,0.00005156941,0.0003472997,0.0005121846,0.0007809053,0.0002601656,0.0004456206,0.00006450554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328738,"about_ca_system_score_gemma":0.001115305,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4062838,"about_ca_topic_score_gemma":0.6257198,"domain_scores_codex":[0.9949641,0.0009027996,0.0009601164,0.0008081816,0.001442297,0.0009224931],"domain_scores_gemma":[0.996779,0.0007302699,0.001165266,0.0006400662,0.0004181156,0.0002672368],"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":[0.00004570558,0.0001156753,0.000654725,0.00267834,0.00002763601,0.00003698,0.0008244631,0.003770081,0.02291098,0.002773879,0.9559776,0.01018394],"study_design_scores_gemma":[0.002662979,0.0009254807,0.1194291,0.005094539,0.0009610001,0.0002670538,0.008540682,0.07869963,0.04175577,0.005306554,0.7312071,0.005150091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02831901,0.0002254551,0.1946193,0.0002980654,0.002391359,0.0006012497,0.7733523,0.00004480503,0.0001483878],"genre_scores_gemma":[0.08556982,0.0004318618,0.03358335,0.00009947683,0.0001410796,0.00009201169,0.8781386,0.00006880383,0.001874969],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2247705,"threshold_uncertainty_score":0.9999622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274766448106064,"score_gpt":0.2825132634158338,"score_spread":0.2697655989347732,"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."}}