{"id":"W4367680925","doi":"10.3138/jsp-2022-0059","title":"Chief Statisticians as Second-to-Last Authors in Biomedical Papers","year":2023,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Computer science; Production (economics); Operations research; Data science; Management science; Engineering; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.06536465,0.001206939,0.003023786,0.01934279,0.006876404,0.02388409,0.00356298,0.006038317,0.04231404],"category_scores_gemma":[0.316151,0.001569482,0.001217262,0.01977913,0.004280771,0.01331927,0.005960444,0.005073471,0.02845766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00908663,"about_ca_system_score_gemma":0.01781894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001336708,"about_ca_topic_score_gemma":0.002694564,"domain_scores_codex":[0.9019184,0.02996312,0.0149379,0.01477898,0.03149617,0.006905468],"domain_scores_gemma":[0.6313986,0.1136881,0.07074373,0.03022113,0.09206153,0.06188697],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002530442,0.0002121691,0.05071486,0.003128516,0.0002204781,0.003127171,0.01601944,0.0006337261,0.002703253,0.09162993,0.4186047,0.4104753],"study_design_scores_gemma":[0.0006334248,0.000652476,0.03963422,0.00261744,0.0003137604,0.005948862,0.01162274,0.003693436,0.006138337,0.08085669,0.8475035,0.0003851292],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1590314,0.05498574,0.1336843,0.1777076,0.1973566,0.003116918,0.01069931,0.01000218,0.253416],"genre_scores_gemma":[0.6406046,0.01296646,0.06727438,0.03443498,0.05236064,0.003233816,0.005510278,0.002934762,0.18068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9939617,"threshold_uncertainty_score":0.3456854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3840685578789365,"score_gpt":0.5258084745558161,"score_spread":0.1417399166768796,"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."}}