{"id":"W7115571629","doi":"10.13140/rg.2.2.26096.72969","title":"Healthcare Accessibility and Navigation in Alberta: An 18-Month Thematic Case Analysis","year":2025,"lang":"en","type":"article","venue":"","topic":"Disability Rights and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Health care; Thematic map; MEDLINE; Context (archaeology); Order (exchange)","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":[0.002418545,0.0002677607,0.0003991615,0.002722142,0.008260871,0.002175877,0.001699791,0.001106214,0.001663573],"category_scores_gemma":[0.004759404,0.000337033,0.0003388113,0.006336811,0.002831782,0.001115325,0.003804597,0.001464943,0.0001274583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03646851,"about_ca_system_score_gemma":0.03786822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8790764,"about_ca_topic_score_gemma":0.9477386,"domain_scores_codex":[0.9982979,0.0004284399,0.00005463348,0.00008440522,0.0003667861,0.0007678996],"domain_scores_gemma":[0.9973472,0.000805645,0.0003862124,0.00008094213,0.0009278702,0.0004521311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003679768,0.001036249,0.274664,0.0004094553,0.00006335267,0.01490845,0.6425136,0.0008521351,0.0006562628,0.004966042,0.004802755,0.0547597],"study_design_scores_gemma":[0.000006333931,0.00008326594,0.1573236,0.0002006972,0.00003184656,0.000758202,0.8340702,0.0002715306,0.0001881091,0.0003701221,0.006673131,0.00002296199],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993863,0.0004437034,0.000150231,0.000617155,0.00001341056,0.00008287278,0.0001956283,0.000002833888,0.00463132],"genre_scores_gemma":[0.9946063,0.0009726317,0.0003688579,0.000155417,0.000008327766,0.00007924097,0.0002244121,0.000004156268,0.003580753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1209236,"threshold_uncertainty_score":0.2645988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04324052328744405,"score_gpt":0.4359401055887832,"score_spread":0.3926995823013391,"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."}}