{"id":"W2982191597","doi":"10.1007/s11606-019-05454-0","title":"Tweeting Authors: Impact on Research Publicity and Downstream Citations","year":2019,"lang":"en","type":"article","venue":"Journal of General Internal Medicine","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; London Health Sciences Centre; University of Toronto","funders":"University of Toronto","keywords":"Medicine; Downstream (manufacturing); Publicity; Marketing","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.03739974,0.0007612899,0.001616046,0.01657542,0.002577844,0.0114321,0.001376495,0.004517705,0.02763235],"category_scores_gemma":[0.3809307,0.0005673984,0.001975056,0.02056618,0.001385821,0.008522811,0.003679676,0.00419978,0.007222123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560073,"about_ca_system_score_gemma":0.003435461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001727995,"about_ca_topic_score_gemma":0.002783186,"domain_scores_codex":[0.9675129,0.01177975,0.005291874,0.002754804,0.01074833,0.00191229],"domain_scores_gemma":[0.3986434,0.4738862,0.05363027,0.01338078,0.04818151,0.01227789],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009176566,0.001518291,0.5153197,0.005526643,0.004209805,0.001336559,0.004127569,0.001432117,0.003739457,0.007974168,0.1199431,0.325696],"study_design_scores_gemma":[0.003243651,0.003000232,0.7690859,0.003523095,0.01245325,0.003305184,0.009432671,0.01372017,0.01016064,0.06776144,0.1035602,0.0007535087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7446232,0.0374235,0.007221603,0.07399433,0.01376132,0.0009765625,0.03593606,0.00179329,0.08427013],"genre_scores_gemma":[0.9533349,0.005900661,0.003680582,0.003084324,0.009476481,0.0004042469,0.006610872,0.0006622562,0.01684566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9834246,"threshold_uncertainty_score":0.1977911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2243592540243893,"score_gpt":0.5503707264914206,"score_spread":0.3260114724670313,"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."}}