{"id":"W6963874563","doi":"10.25318/9810060001-fra","title":"Catégorie de travailleur incluant la permanence de l'emploi selon les groupes d'industries, le statut d’immigrant et la période d’immigration, la catégorie d'admission et le type de demandeur, l’âge et le genre : Canada, provinces et territoires","year":2023,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Independence (probability theory); Order (exchange)","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":[0.001011412,0.001195848,0.001226033,0.005127357,0.001517425,0.002183896,0.002120444,0.001057707,0.02616646],"category_scores_gemma":[0.007990368,0.0005890432,0.001297501,0.01253416,0.0004772193,0.0008728952,0.001247442,0.001730542,0.01761519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01101634,"about_ca_system_score_gemma":0.0252961,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9258809,"about_ca_topic_score_gemma":0.9537046,"domain_scores_codex":[0.9985639,0.00008878504,0.0001768137,0.0002931423,0.0004962618,0.0003811191],"domain_scores_gemma":[0.9941925,0.0006941101,0.0005030234,0.0004275762,0.003688402,0.000494365],"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":[0.00006864559,0.00002090508,0.01362657,0.0004443662,0.00005449207,0.00002327011,0.0001038793,0.0003103428,0.00005484231,0.0005203839,0.9819048,0.002867446],"study_design_scores_gemma":[0.0002070456,0.00001580652,0.1528778,0.0008771298,0.00008666154,0.00007517239,0.0008539846,0.0006541641,0.0003100798,0.0006583787,0.8433158,0.00006798303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004327718,0.00006126299,0.00002107856,0.00005261022,0.00001121404,0.00000989743,0.998741,0.00003704448,0.0006331924],"genre_scores_gemma":[0.001789274,0.00011458,0.0001552814,0.00003802923,0.000006364899,0.00007110569,0.9959114,0.00002365772,0.00189034],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07411909,"threshold_uncertainty_score":0.1491112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008832591028185111,"score_gpt":0.2639256194101862,"score_spread":0.255093028382001,"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."}}