{"id":"W2279889078","doi":"10.1002/leap.1014","title":"TrendMD: Helping scholarly content providers reach larger and more targeted audiences","year":2016,"lang":"en","type":"article","venue":"Learned Publishing","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brain and Cognition Discovery Foundation; University Health Network; MaRS; University of Toronto","funders":"Ontario Centres of Excellence","keywords":"Content (measure theory); Internet privacy; Business; Public relations; Computer science; Political science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0152412,0.001066003,0.0005954096,0.005255361,0.002403748,0.008427625,0.002681817,0.00278651,0.05451449],"category_scores_gemma":[0.08594678,0.0006839562,0.0008981032,0.00292574,0.0006503766,0.01314734,0.006875861,0.00291751,0.03370993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002509955,"about_ca_system_score_gemma":0.008441327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003707054,"about_ca_topic_score_gemma":0.009393513,"domain_scores_codex":[0.991479,0.002922625,0.0007731271,0.0007065668,0.003532783,0.0005859683],"domain_scores_gemma":[0.9395838,0.01777298,0.003897938,0.00447778,0.02426736,0.01000009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002152743,0.0004336228,0.009302019,0.000642168,0.00003607346,0.0001171414,0.001241465,0.0001732019,0.001100526,0.002028197,0.4923657,0.4923446],"study_design_scores_gemma":[0.0004246881,0.0009171828,0.01941766,0.001579263,0.0001826824,0.0007598603,0.006064903,0.007993729,0.004495233,0.01368924,0.9442903,0.0001851173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.09761672,0.006372816,0.1530975,0.3385234,0.0121592,0.007279659,0.01424275,0.09551154,0.2751965],"genre_scores_gemma":[0.249591,0.01062649,0.4490607,0.0481461,0.01023533,0.01212467,0.01435499,0.009382424,0.1964784],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9915724,"threshold_uncertainty_score":0.1823692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1930999443509171,"score_gpt":0.3768092461414612,"score_spread":0.1837093017905441,"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."}}