{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001848268,0.001651928,0.001293615,0.006597611,0.0008308308,0.002332326,0.001759699,0.001069073,0.02201444],"category_scores_gemma":[0.01238922,0.0005746816,0.001615834,0.01008536,0.0003955565,0.001632111,0.001608488,0.001278849,0.02030119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002854386,"about_ca_system_score_gemma":0.004820396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2037491,"about_ca_topic_score_gemma":0.2605562,"domain_scores_codex":[0.9973677,0.000363237,0.0004441764,0.0008398652,0.0005936464,0.0003913928],"domain_scores_gemma":[0.9949751,0.001274082,0.0006251684,0.0007651962,0.002092302,0.0002681139],"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":[0.0002953404,0.00006022752,0.07085063,0.001786501,0.0002585014,0.00008253626,0.0002913656,0.0008340105,0.0003346383,0.001237826,0.9008483,0.02312008],"study_design_scores_gemma":[0.0001356901,0.00004543494,0.1413114,0.0007943164,0.0001674618,0.000197846,0.001274091,0.000880166,0.0008240881,0.001019012,0.8532771,0.00007333628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002715239,0.0003584487,0.0001856949,0.0001590367,0.00004982695,0.00002090846,0.994638,0.0001754215,0.001697386],"genre_scores_gemma":[0.006606617,0.0004066431,0.0008358515,0.00007948729,0.00002535958,0.0001406529,0.9880834,0.00007896295,0.003742948],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7962509,"threshold_uncertainty_score":0,"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."}}