{"id":"W2604365208","doi":"10.5858/arpa.2016-0612-sa","title":"If You Are Not on Social Media, Here's What You're Missing! #DoTheThing","year":2017,"lang":"en","type":"article","venue":"Archives of Pathology & Laboratory Medicine","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marketing buzz; Social media; World Wide Web; Computer science; Variety (cybernetics); Internet privacy; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00204515,0.0002300425,0.000622192,0.0002142578,0.002242344,0.00005986973,0.0008607649,0.0003111451,0.0001528312],"category_scores_gemma":[0.0245523,0.0002176139,0.00007845708,0.0001918973,0.00551988,0.0004430898,0.00008281678,0.0005961853,0.0000270526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001011724,"about_ca_system_score_gemma":0.0007992456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005614383,"about_ca_topic_score_gemma":0.0008841168,"domain_scores_codex":[0.9965393,0.001200163,0.0005232848,0.0004726375,0.000672653,0.0005919709],"domain_scores_gemma":[0.9928883,0.004946251,0.001047808,0.0006144682,0.0002251391,0.0002780897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001727997,0.0002160178,0.03241295,0.0001432194,0.00003715948,0.0001649904,0.7049528,6.448798e-7,0.00420973,0.01170721,0.001258535,0.2447239],"study_design_scores_gemma":[0.002038151,0.0003092125,0.6282372,0.001515493,0.0001324017,0.000002947175,0.2851898,0.000006007659,0.001281578,0.01377487,0.06699907,0.000513235],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8584308,0.001503122,0.00002069421,0.1198134,0.01380603,0.0006048201,0.00004063331,0.0000993328,0.005681161],"genre_scores_gemma":[0.9894533,0.001398174,0.0004410563,0.002359005,0.006131744,0.0001066942,0.00001546694,0.00003729523,0.00005728224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5958243,"threshold_uncertainty_score":0.9990566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1175097872786943,"score_gpt":0.4144943578029303,"score_spread":0.296984570524236,"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."}}