{"id":"W2898042872","doi":"10.1097/acm.0000000000002496","title":"The Social Media Editor at Medical Journals: Responsibilities, Goals, Barriers, and Facilitators","year":2018,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; McMaster University","funders":"National Institute on Aging","keywords":"Social media; Snowball sampling; Public relations; Facilitator; Thematic analysis; Mainstream; Sociology; Phone; Medical education; Business; Psychology; Political science; Medicine; Qualitative research","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":["metaresearch","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.01481876,0.000172052,0.0003354925,0.0001154455,0.00421501,0.00002199487,0.0006275805,0.0007515707,0.002845661],"category_scores_gemma":[0.2410591,0.000119076,0.00003601834,0.0005489161,0.008076137,0.0001741062,0.0001243737,0.001105681,0.00008092832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006058256,"about_ca_system_score_gemma":0.001926407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001317534,"about_ca_topic_score_gemma":0.003233445,"domain_scores_codex":[0.9941944,0.001512744,0.0007479956,0.0003503014,0.002407046,0.0007875147],"domain_scores_gemma":[0.976255,0.02157588,0.0002807901,0.0001948767,0.0003738013,0.001319628],"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":[0.00008244331,0.000001556476,0.01592682,0.0000121497,0.00001544257,0.000001602401,0.4097115,1.567214e-9,0.00002339596,0.007389796,0.5487051,0.01813023],"study_design_scores_gemma":[0.0003858467,0.00005839339,0.01078129,0.0001130916,0.00002286516,0.000003822565,0.1465123,0.000002936407,0.000009793638,0.007158084,0.8348364,0.0001152204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6615499,0.01087472,0.000009956386,0.2646695,0.0599797,0.0006916302,0.00001128654,0.0001120907,0.002101171],"genre_scores_gemma":[0.7301612,0.01714061,0.00002194446,0.003440088,0.2475602,0.0002596004,0.000007227648,0.0000315847,0.001377522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2861313,"threshold_uncertainty_score":0.9980659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1019821905925668,"score_gpt":0.4586679108368562,"score_spread":0.3566857202442894,"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."}}