{"id":"W3198146093","doi":"10.3233/bd-201028","title":"Breast cancer screening literacy information on online platforms: A content analysis of YouTube videos","year":2021,"lang":"en","type":"article","venue":"Breast Disease","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baker Hughes (Canada); University of Calgary","funders":"","keywords":"Health literacy; Content analysis; Literacy; Population; Breast cancer screening; Breast cancer; Cancer screening; Social media","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006280763,0.0002150076,0.0004994883,0.0004719224,0.000440632,0.0000455273,0.0001924517,0.0001198306,0.003471344],"category_scores_gemma":[0.0003356719,0.0001705946,0.0002831254,0.001400606,0.00004508526,0.003460103,0.0001242249,0.0004316236,0.00009755219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002150877,"about_ca_system_score_gemma":0.001027304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008790483,"about_ca_topic_score_gemma":0.0001226369,"domain_scores_codex":[0.9963896,0.0002045062,0.00214937,0.000240333,0.000539402,0.0004767699],"domain_scores_gemma":[0.9956765,0.000257183,0.0009604277,0.0006254533,0.001841791,0.0006386495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001959719,0.0004613267,0.8406085,0.001240913,0.0004099553,0.000005322308,0.005289313,0.0008900783,0.000005884329,0.001033561,0.0008374493,0.1472579],"study_design_scores_gemma":[0.001178419,0.00001141183,0.9422009,0.0007231131,0.0003622151,0.000002830414,0.00223349,0.04994803,0.000003386927,0.00004238302,0.00312421,0.000169592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971199,0.0001206398,0.003147047,0.002461876,0.0002982784,0.0006258797,0.02139149,0.0001006592,0.0006550987],"genre_scores_gemma":[0.9823784,0.000052249,0.0004666708,0.01189824,0.0001627737,0.0001440002,0.004637983,0.00001156483,0.000248163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1470883,"threshold_uncertainty_score":0.9974396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07903072017168014,"score_gpt":0.4376100260388552,"score_spread":0.3585793058671751,"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."}}