{"id":"W6963914968","doi":"10.25318/9810038901-fra","title":"Principal domaine d’études (détaillé, code à quatre chiffres), selon le plus haut niveau de scolarité : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement ayant une population de 5 000 habitants ou plus","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":"Population; Context (archaeology); Census; Field (mathematics)","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"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.004608945,0.002018176,0.001745347,0.000894396,0.00295328,0.0007409883,0.001644245,0.0008954319,0.0001312675],"category_scores_gemma":[0.006015054,0.00240528,0.0001743258,0.001960618,0.0003784123,0.0005307513,0.0008008669,0.002170496,0.00003122611],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.06784136,"about_ca_system_score_gemma":0.05581323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9989591,"about_ca_topic_score_gemma":0.9999852,"domain_scores_codex":[0.9837459,0.00302364,0.002847966,0.002235135,0.004502806,0.003644547],"domain_scores_gemma":[0.9895254,0.003197271,0.002423908,0.001689545,0.001092444,0.002071456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004338406,0.0007739866,0.007946479,0.001564829,0.0006003742,0.002779667,0.001457767,0.02460224,0.0008114246,0.01124347,0.9454559,0.002329983],"study_design_scores_gemma":[0.003289246,0.0005017963,0.6019051,0.00548856,0.001646377,0.0002280975,0.003928958,0.0760917,0.0003161666,0.001407327,0.3018851,0.00331161],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04427271,0.0005686649,0.009629791,0.007980396,0.001373077,0.003507795,0.9324107,0.0002061076,0.00005078228],"genre_scores_gemma":[0.1663353,0.001076248,0.01867077,0.0005236267,0.0002130283,0.0006186605,0.8108128,0.0005454043,0.001204219],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6435708,"threshold_uncertainty_score":0.9992561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405881395920434,"score_gpt":0.2940246184486865,"score_spread":0.2799658044894822,"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."}}