{"id":"W2095995897","doi":"10.2196/jmir.1560","title":"Seeking Support on Facebook: A Content Analysis of Breast Cancer Groups","year":2011,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":457,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; University Health Network","funders":"University of Toronto","keywords":"Popularity; Breast cancer; Social media; Social support; Internet privacy; Support group; Content analysis; The Internet; Psychology; Social network (sociolinguistics); Medicine; World Wide Web; Cancer; Computer science; Social psychology; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003301376,0.0002270362,0.0004239702,0.007447393,0.001221824,0.002116562,0.0006836711,0.000594612,0.001564511],"category_scores_gemma":[0.01857165,0.0002289476,0.0004769037,0.005447466,0.0008994216,0.002225067,0.002525073,0.000467732,0.0002784421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627348,"about_ca_system_score_gemma":0.001209955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005397016,"about_ca_topic_score_gemma":0.005748622,"domain_scores_codex":[0.9970968,0.001239369,0.0003677495,0.0002756563,0.000656363,0.0003640316],"domain_scores_gemma":[0.985078,0.00841701,0.003128474,0.0004287406,0.002154173,0.0007936771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000272578,0.0002628288,0.7814402,0.0008048033,0.0000828605,0.0005358419,0.178542,0.0001191847,0.001336091,0.0005997457,0.00200884,0.0339951],"study_design_scores_gemma":[0.00001443678,0.0001099066,0.8042583,0.00029061,0.0000575855,0.0004618772,0.1876458,0.001401337,0.0004530647,0.0002920383,0.004977738,0.00003728929],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976896,0.0001194909,0.0002074418,0.0001443179,0.000007168773,0.0002182382,0.0006454203,0.00000755417,0.0009607784],"genre_scores_gemma":[0.9961895,0.0002291059,0.001212056,0.00006986951,0.00001817309,0.0004556431,0.001392235,0.0000129071,0.0004205396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007447393,"threshold_uncertainty_score":0.01745957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5208690140938955,"score_gpt":0.5570415741343121,"score_spread":0.03617256004041658,"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."}}