{"id":"W4301309049","doi":"10.17615/eg0z-fb92","title":"Social Media and the Practicing Hematologist: Twitter 101 for the Busy Healthcare Provider","year":2020,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Aurora Research Institute; American Society for Blood and Marrow Transplantation","keywords":"Hematologist; Social media; Health care; Internet privacy; Computer science; World Wide Web; Medicine; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.0007853822,0.00009259844,0.0001894275,0.0000143202,0.002132159,0.0002974324,0.0002467708,0.0001175048,0.00003112319],"category_scores_gemma":[0.0198985,0.00005425898,0.00004781947,0.0002541731,0.001432328,0.0004379592,0.00005641089,0.0002212481,0.000006161895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003509923,"about_ca_system_score_gemma":0.0008074782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001885573,"about_ca_topic_score_gemma":0.00111123,"domain_scores_codex":[0.9985452,0.0004365699,0.0002213754,0.0001866372,0.0002934441,0.0003168049],"domain_scores_gemma":[0.9796947,0.01981353,0.0001858477,0.00009198933,0.00009790811,0.0001159848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007863259,0.000004583069,0.002969511,0.00006606046,0.000009709934,2.080046e-7,0.4123767,8.826724e-8,2.982027e-7,0.5654569,0.01482737,0.004209911],"study_design_scores_gemma":[0.0009063131,0.00003472533,0.004674669,0.00002282213,0.00006594397,8.931837e-7,0.3341544,0.00007130939,0.00004600621,0.3121772,0.3476684,0.0001773544],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0114421,0.002018412,0.0002710988,0.9816271,0.001828926,0.002114802,0.00000433033,0.0001051948,0.0005880107],"genre_scores_gemma":[0.9614183,0.000103447,0.002363819,0.02673181,0.007623693,0.001660404,0.000008154138,0.00002564043,0.00006470385],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9548953,"threshold_uncertainty_score":0.9991669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.266002312291512,"score_gpt":0.4082521099897671,"score_spread":0.1422497976982551,"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."}}