{"id":"W2981717393","doi":"10.2196/14436","title":"Just Because (Most) Hospitals Are Publishing Charges Does Not Mean Prices Are More Transparent","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Publishing; Business; Medicine; Medical emergency; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01106581,0.0002091077,0.0002705168,0.0011186,0.001024432,0.004553227,0.0007643149,0.001072298,0.01720812],"category_scores_gemma":[0.1258841,0.0002440559,0.0003417387,0.002349417,0.001784989,0.004581537,0.00183478,0.001376599,0.003628015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001771202,"about_ca_system_score_gemma":0.00365612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002820921,"about_ca_topic_score_gemma":0.002573343,"domain_scores_codex":[0.9765058,0.00973824,0.00271172,0.001633666,0.008306506,0.001104024],"domain_scores_gemma":[0.8171789,0.07876667,0.06675257,0.01477717,0.01584627,0.006678373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000361711,0.0006321148,0.3572339,0.001327288,0.0002005856,0.0003734407,0.006588173,0.0006428357,0.002732749,0.01743303,0.2421977,0.3702766],"study_design_scores_gemma":[0.0001486246,0.000927765,0.4739609,0.001468063,0.0001577546,0.002444712,0.009476931,0.001286319,0.00371532,0.01599386,0.4901809,0.0002389143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5952592,0.004300202,0.01597077,0.2430585,0.001760974,0.0002792234,0.004248585,0.001269921,0.1338527],"genre_scores_gemma":[0.9622207,0.001641606,0.006373837,0.02233353,0.001186089,0.000111792,0.001037196,0.0001623246,0.004932979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01720812,"threshold_uncertainty_score":0.05852228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06648751510116861,"score_gpt":0.4320751615661241,"score_spread":0.3655876464649555,"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."}}