{"id":"W4411715172","doi":"10.52843/cassyni.5lymqy","title":"Co-Authorship Maps to Support Leadership Selection","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Computer science; Data science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02074909,0.00120946,0.0009920506,0.01541883,0.002930381,0.00932289,0.002048048,0.001205082,0.0259626],"category_scores_gemma":[0.1798511,0.0009086845,0.001026993,0.01776895,0.001183355,0.01086512,0.00779343,0.002202,0.008928325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002177518,"about_ca_system_score_gemma":0.004517696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00891879,"about_ca_topic_score_gemma":0.0142297,"domain_scores_codex":[0.9863384,0.006076778,0.001178108,0.001732073,0.00406631,0.0006083081],"domain_scores_gemma":[0.8518065,0.08608543,0.008692937,0.02164275,0.02815097,0.003621524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008954713,0.0003062882,0.03702063,0.001414338,0.0002560982,0.0007571625,0.03042728,0.02553886,0.003109424,0.1055664,0.2027672,0.5919408],"study_design_scores_gemma":[0.0003075881,0.0001904194,0.01803984,0.0008834311,0.000110908,0.0003115612,0.01572426,0.1698632,0.009215709,0.2341433,0.5507782,0.0004314628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09115289,0.0009997245,0.6602539,0.01046563,0.002100401,0.001720807,0.06699532,0.08195272,0.08435871],"genre_scores_gemma":[0.3319644,0.0005541932,0.6164199,0.0003538841,0.0005826149,0.001653312,0.02821237,0.006949168,0.01331022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9845812,"threshold_uncertainty_score":0.109733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2061608359099957,"score_gpt":0.3190325144469111,"score_spread":0.1128716785369154,"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."}}