{"id":"W4321461070","doi":"10.22605/rrh8108","title":"Report card on access to rural health care in Canada","year":2023,"lang":"en","type":"article","venue":"Rural and Remote Health","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Health care; Rural health; Rural area; Accountability; Work (physics); Medicine; Nursing; Economic growth; Public relations; Business; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002068383,0.000497068,0.0004037043,0.002922679,0.004911249,0.002873498,0.001811719,0.001145783,0.05143846],"category_scores_gemma":[0.009995162,0.0003287008,0.0004674057,0.005635222,0.0007586476,0.0007751679,0.002316694,0.001479491,0.004129344],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04397422,"about_ca_system_score_gemma":0.2066821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944295,"about_ca_topic_score_gemma":0.9947541,"domain_scores_codex":[0.993365,0.0002047268,0.000354942,0.0003082031,0.004242138,0.001525106],"domain_scores_gemma":[0.9752923,0.001161439,0.001005056,0.0002741845,0.01751368,0.004753389],"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":[0.0000560573,0.00003754582,0.02175226,0.0004826074,0.00001781518,0.0001340308,0.000506399,0.0002088318,0.0001467929,0.001945228,0.938265,0.03644745],"study_design_scores_gemma":[0.0000670403,0.00005119059,0.1847678,0.0007556595,0.00003351754,0.00009362588,0.003061456,0.0005840379,0.0002320202,0.0004144388,0.8098398,0.00009939276],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04317731,0.003962481,0.0009102701,0.07169241,0.002383658,0.001706554,0.5373558,0.0009398138,0.3378717],"genre_scores_gemma":[0.3572612,0.0136698,0.004638314,0.02724592,0.001040382,0.001586603,0.2683629,0.0002937086,0.3259012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9560258,"threshold_uncertainty_score":0.3190568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04567998290724172,"score_gpt":0.4481609948192946,"score_spread":0.4024810119120528,"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."}}