{"id":"W3216372912","doi":"10.2196/29768","title":"A Pipeline to Understand Emerging Illness Via Social Media Data Analysis: Case Study on Breast Implant Illness","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Pipeline (software); Mental illness; Construct (python library); Computer science; Mental health; Data science; Medicine; Psychology; Psychiatry; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004252424,0.000828158,0.0003097943,0.005367574,0.001495587,0.00150958,0.0008292604,0.001206574,0.002133154],"category_scores_gemma":[0.009632378,0.0003451616,0.001180109,0.002872258,0.0007606075,0.00314603,0.002094017,0.001541473,0.0007986226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725306,"about_ca_system_score_gemma":0.001583362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01285616,"about_ca_topic_score_gemma":0.0212175,"domain_scores_codex":[0.997607,0.001149095,0.0002421016,0.0003884566,0.0004527574,0.0001605062],"domain_scores_gemma":[0.9884862,0.008673594,0.000793567,0.0005606155,0.001109933,0.000376157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006705645,0.001367121,0.3475097,0.002680428,0.0002674068,0.01767644,0.06891916,0.02039905,0.02886038,0.01863841,0.04135239,0.451659],"study_design_scores_gemma":[0.0001591384,0.0007253857,0.1708816,0.0008802928,0.0003521999,0.006535919,0.08684613,0.4858054,0.03338468,0.0478169,0.1662089,0.0004035047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6446738,0.0008656665,0.2953428,0.01355212,0.0001978974,0.00397331,0.02872735,0.003823738,0.008843281],"genre_scores_gemma":[0.4908281,0.0005707121,0.489026,0.0006472358,0.0001046388,0.001458377,0.01449639,0.0001795595,0.002689044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01285616,"threshold_uncertainty_score":0.02556264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296129886646236,"score_gpt":0.4495019258236717,"score_spread":0.319888937159048,"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."}}