{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006028994,0.0002940034,0.0005344896,0.01665326,0.000898182,0.002259031,0.0006887745,0.000554301,0.002590216],"category_scores_gemma":[0.03417012,0.0002065447,0.0009374031,0.01685334,0.0005583466,0.002305312,0.001875955,0.0004179707,0.0003056262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106481,"about_ca_system_score_gemma":0.001091881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004272413,"about_ca_topic_score_gemma":0.005040916,"domain_scores_codex":[0.9932466,0.003533719,0.0009313879,0.0009819084,0.0009683258,0.000338099],"domain_scores_gemma":[0.9453717,0.03622477,0.01255509,0.001199627,0.003259811,0.001388926],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001588037,0.00004881575,0.9749274,0.0003071681,0.0005767058,0.0001769766,0.001507492,0.0009035851,0.0003609631,0.0008498019,0.0008578865,0.01932434],"study_design_scores_gemma":[0.00005139645,0.0001706464,0.9463828,0.0003055657,0.0006641215,0.001010549,0.007255351,0.03269113,0.0005416594,0.005599087,0.00526889,0.00005890767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983674,0.001410888,0.009222775,0.000627515,0.0000290626,0.0001481081,0.002297945,0.00006514572,0.002524417],"genre_scores_gemma":[0.9941655,0.0002635875,0.00454324,0.00002233286,0.00002466276,0.00008609989,0.0007293074,0.000009414844,0.00015588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.993971,"threshold_uncertainty_score":0.03188473,"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."}}