{"id":"W4390589574","doi":"10.3390/healthcare12010121","title":"Social Media, Endometriosis, and Evidence-Based Information: An Analysis of Instagram Content","year":2024,"lang":"en","type":"article","venue":"Healthcare","topic":"Endometriosis Research and Treatment","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Social media; Endometriosis; Content analysis; Scientific evidence; Psychology; Medical education; Disease; Evidence-based medicine; Medicine; Public relations; Alternative medicine; Gynecology; Political science; Sociology; Computer science; Social science; World Wide Web; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004382649,0.0001061786,0.000429371,0.001852723,0.00007402302,0.00004915261,0.00004868819,0.00007809441,0.00007689107],"category_scores_gemma":[0.003252168,0.00007910499,0.0001635598,0.002808764,0.00007632519,0.0003417172,0.00002079176,0.0001646428,0.000008700455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002002522,"about_ca_system_score_gemma":0.0004105802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008800186,"about_ca_topic_score_gemma":0.0004873243,"domain_scores_codex":[0.9985159,0.0001082278,0.0003667056,0.0001690414,0.000614009,0.000226117],"domain_scores_gemma":[0.9967359,0.002367203,0.0000597836,0.0001732126,0.0003451668,0.0003187307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007020247,0.0002829967,0.2213516,0.004154981,0.001983619,0.0001036513,0.004495024,0.000004826926,0.0001580674,0.004400602,0.0002962977,0.7620663],"study_design_scores_gemma":[0.004215073,0.003319211,0.96119,0.00150815,0.002374507,0.00001974733,0.004258037,0.005638838,0.002685632,0.00007831283,0.01443601,0.0002764519],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9416778,0.04015766,0.0001619593,0.01680867,0.00009688498,0.0007268161,0.0001622542,0.00009948769,0.0001084731],"genre_scores_gemma":[0.9953455,0.003540926,0.0002321779,0.0005088866,0.00006398909,0.00006321835,0.0002283182,0.00000672242,0.00001029279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7617899,"threshold_uncertainty_score":0.3893384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1865797842496123,"score_gpt":0.4191286687431267,"score_spread":0.2325488844935143,"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."}}