{"id":"W6926457631","doi":"10.25318/3710012301-fra","title":"Caractéristiques démographiques des apprentis, Canada","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Post-Communist Economic and Political Transition","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Limiting; Subject (documents); Context (archaeology)","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003540718,0.0004657379,0.0005556897,0.0000872506,0.0007953526,0.000154996,0.000580326,0.0003197825,0.001195017],"category_scores_gemma":[0.0004168873,0.000571433,0.000061456,0.0002851931,0.0007474693,0.0002105702,0.00005205208,0.0005473637,0.00002848403],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003657623,"about_ca_system_score_gemma":0.006351994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9993197,"about_ca_topic_score_gemma":0.9999735,"domain_scores_codex":[0.9967319,0.0005386981,0.0006897328,0.0004536301,0.0007593667,0.0008266871],"domain_scores_gemma":[0.9966273,0.00160521,0.0003986275,0.000464474,0.0004351025,0.0004693381],"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":[0.000009768961,0.00004713949,0.0002795706,0.0004985257,0.00008789539,0.00004438878,0.0003466768,0.000009090805,0.000002160208,0.04105534,0.9524934,0.005126045],"study_design_scores_gemma":[0.0001043119,0.00004932584,0.01576538,0.0003927593,0.0002258572,0.000004710442,0.001723615,0.0001087117,0.00003220253,0.002932754,0.9779792,0.0006811493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001485076,0.0009335236,0.001223912,0.0008245496,0.00267138,0.000417314,0.9895117,0.00001640682,0.002916159],"genre_scores_gemma":[0.0691376,0.002264284,0.0007078176,0.000490785,0.000329478,0.0000320355,0.9238357,0.00003698844,0.003165314],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06765253,"threshold_uncertainty_score":0.999718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701044954354906,"score_gpt":0.2940632822299018,"score_spread":0.2770528326863527,"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."}}