{"id":"W2752888705","doi":"10.1155/2017/2945282","title":"Readability and Suitability of COPD Consumer Information","year":2017,"lang":"en","type":"article","venue":"Canadian Respiratory Journal","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Readability; Algorithm; Medicine; Database; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.009738445,0.0003253387,0.0003885501,0.002761152,0.0003265799,0.001539629,0.000374838,0.0005326558,0.004833775],"category_scores_gemma":[0.04809768,0.0001456334,0.0009163984,0.0009990708,0.0004262306,0.001185023,0.0008214223,0.000508073,0.0005881265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008340616,"about_ca_system_score_gemma":0.0004811675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001824652,"about_ca_topic_score_gemma":0.002142284,"domain_scores_codex":[0.9920874,0.002285798,0.00128364,0.0003321867,0.003785125,0.0002258069],"domain_scores_gemma":[0.9429985,0.02928814,0.01583943,0.001246654,0.009672329,0.0009550505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002424533,0.0004095683,0.8012083,0.001892142,0.0002969344,0.0004323305,0.0119283,0.0002717074,0.005760618,0.0002036721,0.00413697,0.1710348],"study_design_scores_gemma":[0.00005086641,0.001212522,0.9865519,0.0004391229,0.0001070812,0.0005689739,0.002506981,0.0005985556,0.001772135,0.0002085365,0.005941616,0.00004178956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880696,0.001308981,0.001002918,0.0006023004,0.00004261159,0.0003169644,0.0009977953,0.00005824169,0.007600544],"genre_scores_gemma":[0.9941359,0.000670729,0.002952072,0.0002875404,0.00006737598,0.0001615811,0.0008961537,0.00002502957,0.0008034867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009738445,"threshold_uncertainty_score":0.05150247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07087077992227701,"score_gpt":0.4172196735888914,"score_spread":0.3463488936666144,"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."}}