{"id":"W2980148319","doi":"10.1177/1932296819879909","title":"Letter to the Editor Regarding “Clinical Trial Recruitment and Retention of College Students with Type 1 Diabetes via Social Media: An Implementation Case Study”: A Commentary on Wisk et al (2019)","year":2019,"lang":"en","type":"letter","venue":"Journal of Diabetes Science and Technology","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Social media; Type 2 diabetes; Medicine; Medical education; Diabetes mellitus; Psychology; Family medicine; Computer science; Endocrinology; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009789829,0.0001912545,0.0005864461,0.0006934727,0.0007521372,0.0001159431,0.0006542882,0.0003740111,0.000006575993],"category_scores_gemma":[0.001999376,0.0001343518,0.00004894417,0.001089571,0.001283998,0.000415302,0.0001566309,0.001266245,0.000001209957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003350904,"about_ca_system_score_gemma":0.0007296597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001745365,"about_ca_topic_score_gemma":0.0007810004,"domain_scores_codex":[0.9955922,0.0009899219,0.0008208918,0.0004085451,0.001696507,0.0004919685],"domain_scores_gemma":[0.9953728,0.002235061,0.001175666,0.0002325188,0.0008713796,0.0001125428],"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":[0.0002324046,0.0002956635,0.09173579,0.00001864686,0.000108079,0.00003922993,0.01004166,1.04534e-7,0.00005087868,0.00001233905,0.8779899,0.01947527],"study_design_scores_gemma":[0.01589191,0.02594396,0.01622533,0.0003146718,0.0005998222,0.00001932481,0.06677151,0.000004929523,0.000131847,0.0004221695,0.8731043,0.0005702265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5770954,0.00003703978,3.815987e-7,0.4117425,0.009146784,0.001955391,0.00001245855,0.000008283449,0.000001709899],"genre_scores_gemma":[0.7495639,0.0001143528,0.0002036926,0.2300375,0.01975551,0.0002874281,0.000009727225,0.00002454646,0.000003324995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1817051,"threshold_uncertainty_score":0.5784907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1486362347946188,"score_gpt":0.4734156998466408,"score_spread":0.324779465052022,"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."}}