{"id":"W2804006184","doi":"10.1093/pch/pxy054.146","title":"RESEARCH COLLABORATION WITHIN A DEPARTMENT OF PEDIATRICS: A SOCIAL NETWORK ANALYSIS OF COAUTHORSHIP PATTERNS","year":2018,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster Children's Hospital; McMaster University","funders":"","keywords":"Odds; Odds ratio; Social network analysis; Social network (sociolinguistics); Medicine; Family medicine; Library science; Medical education; Pediatrics; Social media; Computer science; World Wide Web; Logistic regression; Pathology","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":[0.005621967,0.0001640357,0.0006924099,0.001870771,0.0006015509,0.00005432768,0.0003069932,0.0002411973,0.00003916125],"category_scores_gemma":[0.0003126624,0.0001584651,0.0001344045,0.01070114,0.0001205074,0.0001840096,0.0001832847,0.0003802656,0.00002402917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001502302,"about_ca_system_score_gemma":0.0004063578,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007959095,"about_ca_topic_score_gemma":0.01944474,"domain_scores_codex":[0.9967971,0.0002135297,0.001124732,0.0003881674,0.0008001494,0.0006762738],"domain_scores_gemma":[0.9968366,0.0001513484,0.001230957,0.0003443435,0.001390847,0.00004587291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000101661,0.0002243816,0.8734601,0.001774945,0.0001636182,0.000002607737,0.001500643,0.00008686978,0.000001121769,0.1037403,0.01369923,0.005244504],"study_design_scores_gemma":[0.001618289,0.0006848284,0.9333267,0.0001417415,0.001046122,0.000001446588,0.005039276,0.003826657,0.00001717834,0.008030482,0.04560588,0.0006614657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866229,0.001001016,0.001107622,0.007588079,0.001010134,0.001046049,0.0001243489,0.000109114,0.001390741],"genre_scores_gemma":[0.992592,0.0001397961,0.0002339602,0.0007145813,0.006084357,0.00003379003,0.0001660737,0.00002509092,0.00001037271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09570979,"threshold_uncertainty_score":0.998647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0399561905434155,"score_gpt":0.3527180965153006,"score_spread":0.3127619059718851,"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."}}