{"id":"W3041922855","doi":"10.29024/joa.26","title":"Using a Diabetes Discussion Forum and Wikipedia to Detect the Alignment of Public Interests and the Research Literature","year":2020,"lang":"en","type":"article","venue":"Journal of Altmetrics","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Latent Dirichlet allocation; Scopus; Topic model; Public health; Original research; MEDLINE; Computer science; Political science; Library science; Data science; Information retrieval; Medicine; 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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006857836,0.0005576215,0.0004737084,0.01498792,0.001200815,0.002240261,0.0005623933,0.001081016,0.0009343913],"category_scores_gemma":[0.03417147,0.0002762872,0.00039936,0.007286711,0.0005885633,0.004030854,0.002215944,0.0006932783,0.0004772612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054594,"about_ca_system_score_gemma":0.0009985133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003602886,"about_ca_topic_score_gemma":0.005496907,"domain_scores_codex":[0.995562,0.001914191,0.0004826591,0.0007915872,0.0009775263,0.0002720524],"domain_scores_gemma":[0.9548655,0.02870388,0.007892773,0.002053985,0.004532252,0.001951666],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00234972,0.001081602,0.6351467,0.002197905,0.0004190155,0.001129982,0.02013353,0.003206502,0.0329235,0.0055983,0.01871065,0.2771026],"study_design_scores_gemma":[0.0002146592,0.001002819,0.7241478,0.0004955388,0.0003713862,0.001699498,0.01512115,0.1543606,0.02286961,0.01255196,0.06682072,0.000344168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634357,0.001077482,0.02161975,0.000619377,0.0002965765,0.0003442698,0.005169657,0.001072658,0.006364417],"genre_scores_gemma":[0.949959,0.0002273217,0.03920296,0.0001556604,0.0002460727,0.0004937586,0.007470391,0.0001046724,0.002140198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9931422,"threshold_uncertainty_score":0.03626817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1458516002676736,"score_gpt":0.4263458667255863,"score_spread":0.2804942664579126,"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."}}