{"id":"W4407853971","doi":"10.2196/66812","title":"Breast Cancer Vlogs on YouTube: Descriptive and Content Analyses","year":2025,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of British Columbia; McGill University","funders":"","keywords":"Preprint; Content analysis; Descriptive statistics; Descriptive research; Sociology; Computer science; World Wide Web; Statistics; Mathematics; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001040095,0.0001544911,0.0004119044,0.000178219,0.0004943732,0.000008226102,0.000145939,0.0003252563,0.000487315],"category_scores_gemma":[0.0003711428,0.0001091644,0.00004849985,0.0002148049,0.0001492564,0.000325922,0.0001595714,0.0007633963,0.0000991738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000255052,"about_ca_system_score_gemma":0.0003862771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001278247,"about_ca_topic_score_gemma":0.00011753,"domain_scores_codex":[0.9972782,0.0007443281,0.001200914,0.00025569,0.00007328328,0.0004475708],"domain_scores_gemma":[0.9980844,0.0007864073,0.000362617,0.0002904593,0.0003395344,0.0001366206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003757473,0.00003789673,0.9516879,0.0002813282,0.00003213632,3.831279e-7,0.003743709,0.0000206857,0.00003945022,0.01776145,0.01308081,0.01293855],"study_design_scores_gemma":[0.000785486,0.00004462343,0.977767,0.0002392463,0.00001319351,0.000001218125,0.002726118,0.001733617,0.000009766771,0.001347731,0.01522777,0.0001042418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692081,0.0002018591,0.0008770307,0.007434018,0.0007779972,0.0009329307,0.0001283012,0.0001014053,0.02033839],"genre_scores_gemma":[0.9507986,0.0001392737,0.000224324,0.0466147,0.00009254171,0.0007302223,0.00002089955,0.000004778431,0.001374632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03918068,"threshold_uncertainty_score":0.5335758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.26980457357638,"score_gpt":0.5687256875629807,"score_spread":0.2989211139866007,"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."}}