{"id":"W3123749673","doi":"10.2139/ssrn.3360192","title":"A Bitter Pill to Swallow? The Consequences of Patient Evaluation in Online Health Q&A Platforms","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Pill; Medicine; Traditional medicine; Pharmacology","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":[0.07542455,0.0002981986,0.0006367199,0.001624229,0.005664964,0.008956711,0.001768688,0.005375132,0.01766582],"category_scores_gemma":[0.4267834,0.0005791385,0.0009529846,0.001808035,0.003978952,0.01102852,0.005494366,0.005709287,0.002310945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004329234,"about_ca_system_score_gemma":0.007077494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00728471,"about_ca_topic_score_gemma":0.01346975,"domain_scores_codex":[0.9054446,0.07165111,0.004158584,0.001991819,0.01358262,0.00317126],"domain_scores_gemma":[0.4722765,0.4217751,0.05310981,0.0107557,0.01904804,0.02303479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004206554,0.003476949,0.4427912,0.0006718019,0.0002519765,0.003526865,0.02254582,0.0007607153,0.0004764804,0.02203842,0.08671474,0.4125386],"study_design_scores_gemma":[0.001462498,0.006571619,0.5480308,0.008005012,0.001005959,0.009653052,0.162168,0.01576459,0.003243471,0.09991282,0.1431087,0.001073569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6294813,0.004264471,0.003383586,0.2861682,0.001270485,0.0002749969,0.0006454603,0.000215448,0.07429601],"genre_scores_gemma":[0.9747412,0.001024619,0.002690675,0.01750431,0.000686541,0.000117858,0.0001177684,0.0001057888,0.003011409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07542455,"threshold_uncertainty_score":0.3988879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03055312255679928,"score_gpt":0.3082463757194889,"score_spread":0.2776932531626897,"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."}}