{"id":"W6888914164","doi":"10.25318/9810040401-fra","title":"Profession, selon le principal domaine d’études (détaillé, code à quatre chiffres) : Canada, provinces et territoires","year":2023,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Principal (computer security); Code (set theory); Field (mathematics); Subject (documents)","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":[0.001122472,0.001913594,0.00158757,0.007232195,0.001471829,0.003082199,0.00294042,0.001517029,0.05418422],"category_scores_gemma":[0.0106922,0.000886752,0.001474132,0.02103848,0.0006760725,0.001336808,0.001659724,0.002548887,0.04063364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01441961,"about_ca_system_score_gemma":0.03753272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9359245,"about_ca_topic_score_gemma":0.9565166,"domain_scores_codex":[0.9981875,0.0001096214,0.0001752535,0.0003256019,0.0006663546,0.0005355903],"domain_scores_gemma":[0.992016,0.0008426813,0.0005305841,0.000739856,0.005124632,0.000746236],"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":[0.00003194683,0.00000669114,0.001219195,0.0002777126,0.00001777193,0.000007620802,0.00002255817,0.0001133915,0.00002323822,0.0003917813,0.9966506,0.001237478],"study_design_scores_gemma":[0.0001711463,0.000007289971,0.02334799,0.0005054665,0.00003339898,0.00003435225,0.0001893896,0.0002740644,0.0001889105,0.0005450021,0.9746678,0.00003521784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006380205,0.00003937333,0.00001220191,0.00004737875,0.00001103459,0.000003896948,0.9993154,0.00004974721,0.0004572361],"genre_scores_gemma":[0.0005347136,0.00009190373,0.0001212058,0.00004432001,0.000006618147,0.000032547,0.9975458,0.00003951772,0.001583321],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06407547,"threshold_uncertainty_score":0.1812642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009133775651367318,"score_gpt":0.2814809217343422,"score_spread":0.2723471460829749,"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."}}