{"id":"W2801558111","doi":"10.1186/s12913-018-3068-z","title":"Policy implications of regional variations in eye disease detection and treatment on Prince Edward Island: a repeated cross-sectional analysis, 2010–2012","year":2018,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Health PEI; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Optometry; Government (linguistics); Health administration; Eye care; Health services research; Family medicine; Public health; Demography; Glaucoma; Cross-sectional study; Ophthalmology; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008120646,0.0001095748,0.0002646574,0.0009653921,0.0005025871,0.00001666076,0.00007013963,0.00008230466,0.00005862245],"category_scores_gemma":[0.00006178076,0.00008971964,0.00006496689,0.001481107,0.0002338723,0.00008911437,0.00006041696,0.0001650186,0.00001824318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003695897,"about_ca_system_score_gemma":0.0007069015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00406467,"about_ca_topic_score_gemma":0.007360601,"domain_scores_codex":[0.9982195,0.0003147053,0.0003868482,0.0003734081,0.000329246,0.0003762592],"domain_scores_gemma":[0.9986083,0.0002510039,0.0001170655,0.0003372401,0.0004148317,0.0002715721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001237607,0.0008585767,0.9960425,0.0002447266,0.0001434914,0.000001096554,0.0007200913,0.00001241422,0.00008153187,0.0003075062,0.000005780527,0.0003447077],"study_design_scores_gemma":[0.001035832,0.00275942,0.9943176,0.00006290743,0.0000341499,0.000004105374,0.00009610136,0.001110502,0.00002553763,0.0003408076,0.0001603757,0.00005265703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967903,0.0001975022,0.0001049251,0.001876436,0.00003532729,0.0007214776,0.00006734494,0.00001955927,0.000187167],"genre_scores_gemma":[0.9979144,0.0002854978,0.0001168782,0.0002437481,0.0002299298,0.0001869903,0.00009561377,0.000008403726,0.0009185062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003295931,"threshold_uncertainty_score":0.6144593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0989203489993794,"score_gpt":0.5140606374169527,"score_spread":0.4151402884175733,"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."}}