{"id":"W6926664878","doi":"10.25318/9810054101-eng","title":"Eligibility for instruction in the minority official language by criteria of eligibility and single or multiple response indicator: Canada, provinces and territories, census divisions and census subdivisions","year":2022,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Population; Subdivision; Population statistics; Official statistics; Official language","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":[0.001729599,0.001378762,0.001637834,0.004388799,0.0021025,0.002408506,0.00337866,0.001431857,0.05075984],"category_scores_gemma":[0.01216252,0.001062518,0.001412666,0.01544728,0.0004941664,0.000872255,0.00138345,0.002089582,0.02105943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0207461,"about_ca_system_score_gemma":0.05694103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9703572,"about_ca_topic_score_gemma":0.9791414,"domain_scores_codex":[0.9976791,0.0001626314,0.0002832698,0.0003251271,0.0008518699,0.0006980092],"domain_scores_gemma":[0.9897063,0.0008123267,0.0007835815,0.0004720345,0.007099024,0.001126684],"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":[0.00006132254,0.00001467511,0.003578083,0.0002755384,0.00002687164,0.0000115042,0.00002448191,0.0001345358,0.00001432803,0.0003682965,0.9939405,0.001549845],"study_design_scores_gemma":[0.0006148384,0.00002795591,0.1256554,0.001238554,0.0001161038,0.00005331703,0.0004085034,0.0006326116,0.0003502379,0.0007035064,0.8701183,0.0000808181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001673451,0.00004129471,0.00001877171,0.00007427613,0.0000132646,0.00002491709,0.9988649,0.00002185539,0.0007734677],"genre_scores_gemma":[0.00229918,0.000185504,0.0002885626,0.0001732562,0.00001382332,0.0003318697,0.9911057,0.00004076315,0.005561409],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05075984,"threshold_uncertainty_score":0.1698086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119891576938745,"score_gpt":0.3027628801799455,"score_spread":0.291563964410558,"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."}}