{"id":"W3008811098","doi":"10.1007/s13187-020-01710-8","title":"Online Information for Colorectal Cancer Screening: A Content Analysis of YouTube Videos","year":2020,"lang":"en","type":"article","venue":"Journal of Cancer Education","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Colorectal cancer; Health care; Quality (philosophy); Scale (ratio); Content analysis; Health professionals; Cancer; Medical education; Internal medicine","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":[0.0009270399,0.0001820891,0.0002193188,0.005407877,0.0006590692,0.001065475,0.0002437329,0.000327919,0.002692803],"category_scores_gemma":[0.01323334,0.0001068671,0.0002631174,0.005279107,0.0002876801,0.001438305,0.0009703134,0.0003302078,0.000387377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367599,"about_ca_system_score_gemma":0.0010971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03270717,"about_ca_topic_score_gemma":0.06081657,"domain_scores_codex":[0.9992299,0.0002148538,0.00009113895,0.00006243926,0.0002881798,0.0001135728],"domain_scores_gemma":[0.9891755,0.006132886,0.001359147,0.0001273215,0.002851597,0.0003535238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008134124,0.0004074114,0.6911152,0.003493331,0.0002798151,0.001147547,0.04451799,0.0004054188,0.005087058,0.00137097,0.02663728,0.2247244],"study_design_scores_gemma":[0.00001551943,0.0001240602,0.9317041,0.001195372,0.0001696213,0.0005047563,0.0405523,0.001827352,0.001004914,0.0002937033,0.02256595,0.00004233122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731531,0.001025969,0.0006988709,0.0005855178,0.00004976065,0.0004991689,0.01523441,0.00003565763,0.00871757],"genre_scores_gemma":[0.9715532,0.002227359,0.002676951,0.0003324351,0.00006977269,0.0005930639,0.01763048,0.00007134548,0.00484552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03270717,"threshold_uncertainty_score":0.06503356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1414512694008107,"score_gpt":0.5389459985092664,"score_spread":0.3974947291084557,"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."}}