{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008681972,0.0002856135,0.0004652729,0.01375746,0.001335574,0.004666504,0.0005997153,0.0009549423,0.003215966],"category_scores_gemma":[0.07306083,0.000279562,0.0006435546,0.01381379,0.002154419,0.00521528,0.003750677,0.001066254,0.0004064216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002361999,"about_ca_system_score_gemma":0.003322436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004570388,"about_ca_topic_score_gemma":0.005922245,"domain_scores_codex":[0.9906598,0.004952627,0.001044408,0.0004572052,0.002313372,0.0005725326],"domain_scores_gemma":[0.8234693,0.1539925,0.0129924,0.001553374,0.006556464,0.001436006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008856912,0.0003393455,0.4344116,0.007365667,0.0004238014,0.002270711,0.3038242,0.0003158695,0.002008085,0.01053654,0.004873584,0.232745],"study_design_scores_gemma":[0.00003961639,0.0002639694,0.6673123,0.005848723,0.0004349024,0.001537822,0.2646923,0.002207254,0.0009199072,0.004139311,0.0524827,0.0001210673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743895,0.0039196,0.001923976,0.003455032,0.00007683438,0.0004395497,0.002389589,0.00002971342,0.01337616],"genre_scores_gemma":[0.9874551,0.00373411,0.004396296,0.0006099361,0.0001674938,0.0004787398,0.001616053,0.00006088885,0.001481357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01375746,"threshold_uncertainty_score":0.04591519,"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."}}