{"id":"W1684453201","doi":"","title":"Assessing Transportation Disadvantage in Rural Ontario, Canada: A Case Study of Huron County","year":2015,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Disadvantage; Disadvantaged; Service (business); Business; Service provider; Geography; Economic growth; Socioeconomics; Political science; Economics; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001077641,0.0004676001,0.0004187999,0.001477707,0.0168273,0.001750993,0.00177383,0.0009662994,0.001855577],"category_scores_gemma":[0.002267533,0.0004499363,0.0003728232,0.003571802,0.002532223,0.000612177,0.002450628,0.001283341,0.0001388952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0521001,"about_ca_system_score_gemma":0.06470346,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924264,"about_ca_topic_score_gemma":0.9983637,"domain_scores_codex":[0.9986125,0.0002923059,0.00004483213,0.0001155517,0.0003542381,0.0005804938],"domain_scores_gemma":[0.9984334,0.0002281984,0.0001770573,0.00005625766,0.0005861635,0.0005187891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001334201,0.000402865,0.2868837,0.0005441092,0.00006004254,0.03500805,0.6308117,0.0005374769,0.002824901,0.002957758,0.007153034,0.03268288],"study_design_scores_gemma":[0.00001508121,0.000159284,0.2302989,0.0002964512,0.00004088477,0.00232015,0.7460033,0.000543119,0.0002715532,0.0002529469,0.01974634,0.00005198231],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904863,0.0004911408,0.0002579129,0.001193002,0.00001893956,0.0002780408,0.0002686493,0.00000758148,0.006998402],"genre_scores_gemma":[0.9918879,0.001258295,0.001067137,0.0005630482,0.000009915429,0.0001219794,0.0001527031,0.00001269542,0.004926455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0521001,"threshold_uncertainty_score":0.3780144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05149480445778609,"score_gpt":0.3201243351349048,"score_spread":0.2686295306771187,"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."}}