{"id":"W6907626414","doi":"10.25318/9810041601-eng","title":"Major field of study (STEM and BHASE, summary) by Indigenous identity: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts","year":2023,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Indigenous; Urban agglomeration; Field (mathematics); Credential","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":[0.001133804,0.00168122,0.001775227,0.006581764,0.001717765,0.002730559,0.00358589,0.00124221,0.05221416],"category_scores_gemma":[0.009990444,0.0009638962,0.001388599,0.02203937,0.0005309387,0.001332941,0.001784037,0.002127786,0.02102727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01403655,"about_ca_system_score_gemma":0.04195957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.947993,"about_ca_topic_score_gemma":0.9627175,"domain_scores_codex":[0.998343,0.00008271613,0.0002219267,0.000263914,0.0005261975,0.0005622702],"domain_scores_gemma":[0.9903359,0.0005612216,0.0008241052,0.0003908622,0.006948539,0.000939353],"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":[0.00005300937,0.0000140549,0.004100648,0.0007387229,0.0000395339,0.00001461643,0.00004764734,0.0001497913,0.00002857509,0.0004176137,0.9928535,0.001542408],"study_design_scores_gemma":[0.0005160735,0.00002719152,0.1213453,0.001887591,0.0001585856,0.00007515162,0.0009224569,0.0004549176,0.0003260212,0.0007882686,0.8734236,0.00007478413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001519579,0.00004893601,0.00001724463,0.000036243,0.0000101174,0.0000157033,0.9993122,0.00002220264,0.0003854025],"genre_scores_gemma":[0.002188927,0.0002211478,0.000229643,0.0001142925,0.00001198032,0.0002247364,0.9940231,0.00004002943,0.002946073],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05221416,"threshold_uncertainty_score":0.1746738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006766111495321505,"score_gpt":0.2633847835973943,"score_spread":0.2566186721020728,"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."}}