{"id":"W3109701683","doi":"10.2460/javma.2020.257.11.1171","title":"Readability and content of online pet obesity information","year":2020,"lang":"en","type":"article","venue":"Journal of the American Veterinary Medical Association","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Readability; Obesity; Index (typography); Medicine; Reading (process); Test (biology); Relevance (law); Information retrieval; Computer science; World Wide Web; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002074996,0.0001752172,0.0003566837,0.003218679,0.0001776147,0.001189339,0.0002335864,0.0002895305,0.003579027],"category_scores_gemma":[0.02002081,0.00009262105,0.0003107749,0.001504236,0.0002585489,0.001187508,0.0006137897,0.0002601797,0.0005839351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002722203,"about_ca_system_score_gemma":0.0002872315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000994521,"about_ca_topic_score_gemma":0.001219949,"domain_scores_codex":[0.9987242,0.0004200596,0.0002353507,0.0001209997,0.0004266689,0.00007265338],"domain_scores_gemma":[0.9801764,0.01305318,0.003687177,0.0004497436,0.002320174,0.0003131841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001418899,0.0004973864,0.7909902,0.003668923,0.0002049408,0.0008112577,0.0127011,0.0005291856,0.008063814,0.0002888618,0.003201581,0.1776239],"study_design_scores_gemma":[0.00002329356,0.0004905479,0.9844588,0.0005793463,0.0001046213,0.000869976,0.004995862,0.0009071183,0.002270301,0.0002296579,0.005038349,0.00003214845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920511,0.0006105251,0.000700141,0.00008831969,0.00001470732,0.0001175517,0.001768632,0.00005790368,0.004591199],"genre_scores_gemma":[0.9945099,0.0004429709,0.001684052,0.00006379642,0.00001967779,0.0001199986,0.001946711,0.00002531318,0.00118756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003579027,"threshold_uncertainty_score":0.01197302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08734365133908048,"score_gpt":0.4249300506256014,"score_spread":0.3375863992865209,"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."}}