{"id":"W2518123703","doi":"10.1111/cag.12286","title":"Dental service disparities in Canada: A Saskatoon, Saskatchewan case study","year":2016,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Key (lock); Service (business); Geography; Business; Socioeconomics; Sociology; Marketing; Computer science; Computer security","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":[0.001049142,0.0006380359,0.0008450957,0.003325202,0.01412763,0.002524244,0.001897516,0.001098653,0.004495148],"category_scores_gemma":[0.002150424,0.0006294313,0.0007961258,0.01286789,0.002314002,0.0007787243,0.004008361,0.001978566,0.0003978384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08180073,"about_ca_system_score_gemma":0.1541348,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968603,"about_ca_topic_score_gemma":0.9990282,"domain_scores_codex":[0.997658,0.0002872976,0.0001215548,0.0001945205,0.0004315247,0.001307186],"domain_scores_gemma":[0.9969072,0.0003117089,0.0003663108,0.0001265839,0.001113752,0.001174552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001598669,0.0002785447,0.9225955,0.0003095294,0.0002124443,0.008238902,0.03026501,0.0004808829,0.0009026672,0.00371471,0.01311507,0.01972691],"study_design_scores_gemma":[0.00005246046,0.0001062916,0.8378196,0.0005651065,0.000155835,0.002863894,0.1475303,0.0008800077,0.000238719,0.0009941646,0.008653814,0.0001397003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834703,0.001037638,0.0002271412,0.002670754,0.00003856955,0.0002649336,0.003336554,0.0000183013,0.008935846],"genre_scores_gemma":[0.9933167,0.001408566,0.0004700609,0.001127811,0.00001238236,0.0001760095,0.0008041878,0.00001770382,0.002666535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08180073,"threshold_uncertainty_score":0.5935086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275053727054172,"score_gpt":0.2363570477527244,"score_spread":0.2236065104821827,"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."}}