{"id":"W4225166221","doi":"10.2196/35698","title":"Digital Scientific Platform for Independent Content in Neurology: Rigorous Quality Guideline Development and Implementation","year":2022,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relevance (law); Quality (philosophy); Credibility; Reliability (semiconductor); Computer science; Guideline; The Internet; Scientific literature; Value (mathematics); Content validity; Medical education; Health care; Data science; Medicine; World Wide Web; Pathology","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5135419,0.001393983,0.003438671,0.01166914,0.005216433,0.01850342,0.008870323,0.007904554,0.004071777],"category_scores_gemma":[0.6500412,0.00161232,0.004153574,0.009637862,0.007111432,0.01252442,0.01715059,0.01250541,0.003947056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02164964,"about_ca_system_score_gemma":0.1668733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007800373,"about_ca_topic_score_gemma":0.010424,"domain_scores_codex":[0.4381047,0.3721946,0.07255985,0.007058954,0.105568,0.004513826],"domain_scores_gemma":[0.2233019,0.38878,0.06984125,0.06347895,0.2383583,0.01623951],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002546427,0.001293456,0.008738616,0.02177758,0.0005414901,0.0002644262,0.006388699,0.002551639,0.001163698,0.02877692,0.179302,0.7489469],"study_design_scores_gemma":[0.001528576,0.001796593,0.02539048,0.1711134,0.001194124,0.0008913226,0.00726531,0.01075262,0.006078316,0.05466904,0.7188044,0.0005158174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.01943188,0.05885546,0.3271718,0.4125885,0.01076658,0.09516182,0.002803136,0.003663694,0.06955721],"genre_scores_gemma":[0.05279286,0.01836708,0.852456,0.02160843,0.001803893,0.04792868,0.001850922,0.0005078113,0.002684275],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4864581,"threshold_uncertainty_score":0.5998895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4609589273471988,"score_gpt":0.6180138451538199,"score_spread":0.1570549178066211,"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."}}