{"id":"W2089162969","doi":"10.1300/j013v36n01_03","title":"Using the Internet to Identify Women's Sources of Breast Health Education and Screening","year":2002,"lang":"en","type":"article","venue":"Women & Health","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"The Internet; Medicine; Internet privacy; Health education; Family medicine; Psychology; Computer science; World Wide Web; Nursing; Public health","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":[0.0007907999,0.0003025128,0.0002368797,0.005074273,0.0007643259,0.001122285,0.0002880924,0.000327853,0.006188883],"category_scores_gemma":[0.004362318,0.0001077977,0.0001553389,0.004247579,0.0003069826,0.0008858387,0.0008502432,0.00027924,0.0008788945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005321279,"about_ca_system_score_gemma":0.000888468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03099101,"about_ca_topic_score_gemma":0.06229714,"domain_scores_codex":[0.9996068,0.0001613058,0.00002971249,0.00002693562,0.0001042673,0.00007108533],"domain_scores_gemma":[0.9977989,0.001247939,0.0004941181,0.0000723974,0.0002441595,0.00014247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001418583,0.0003306946,0.695282,0.0006695579,0.00006432986,0.0004150943,0.006257093,0.00008547229,0.001472669,0.0005768634,0.002563707,0.2921407],"study_design_scores_gemma":[0.00003201938,0.0007264921,0.9330734,0.0008391094,0.000218761,0.001339568,0.02623154,0.0006324206,0.001633135,0.0009248171,0.03428585,0.00006286938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358925,0.008084618,0.001664578,0.001111818,0.00006780516,0.00068152,0.00258198,0.00007551231,0.04983963],"genre_scores_gemma":[0.9717692,0.01140605,0.006966246,0.000378102,0.000115166,0.000356087,0.001502204,0.00001394434,0.007493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03099101,"threshold_uncertainty_score":0.06162125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1348709572143588,"score_gpt":0.4454146456575253,"score_spread":0.3105436884431665,"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."}}