{"id":"W6889047117","doi":"10.25318/4510005001-eng","title":"Having someone to count on by gender and province","year":2022,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Population; Government (linguistics)","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":[0.0009917973,0.001674363,0.001640271,0.004183865,0.00142016,0.002353496,0.003435711,0.001126381,0.06157973],"category_scores_gemma":[0.008975404,0.0009927597,0.001813849,0.01378733,0.0004516433,0.001427983,0.00138019,0.00206828,0.02818237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008961496,"about_ca_system_score_gemma":0.01707235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9347361,"about_ca_topic_score_gemma":0.949125,"domain_scores_codex":[0.9988266,0.00008091373,0.0001467627,0.0002489394,0.0003910962,0.0003056679],"domain_scores_gemma":[0.9948055,0.0004676107,0.0004188121,0.000352282,0.003487837,0.0004678786],"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":[0.00003947347,0.000008816125,0.002836162,0.0003232581,0.00002986139,0.000008622732,0.00002594019,0.0001322605,0.00001256631,0.0002780755,0.9949596,0.001345264],"study_design_scores_gemma":[0.0006972998,0.00002299944,0.1091786,0.001485499,0.0001615886,0.0001010401,0.000547135,0.0009201185,0.0002471675,0.000875469,0.8856711,0.00009198477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001364921,0.00003959786,0.00001788042,0.00004915303,0.00001193128,0.0000105453,0.9991872,0.00003250466,0.0005146347],"genre_scores_gemma":[0.001662475,0.0001558723,0.0001955418,0.00008577346,0.00001055514,0.0001181307,0.9950942,0.00004466296,0.002632906],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06526387,"threshold_uncertainty_score":0.2060047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007862692196900752,"score_gpt":0.2633576265437645,"score_spread":0.2554949343468637,"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."}}