{"id":"W4416001136","doi":"10.5465/amproc.2025.20376symposium","title":"Collaboration Initiative for Doctoral Students to Conduct, Publish, and Learn from Replications","year":2025,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Replication (statistics); Constructive; Publication; Publishing; State (computer science); Graduate students","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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5013726,0.002573224,0.003096413,0.00746891,0.01072192,0.02831701,0.007059388,0.01553171,0.0421829],"category_scores_gemma":[0.6349504,0.004512341,0.004792956,0.005874958,0.01300341,0.0232096,0.03962436,0.0253511,0.0286867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006050942,"about_ca_system_score_gemma":0.07162209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006696226,"about_ca_topic_score_gemma":0.001292475,"domain_scores_codex":[0.4378371,0.4597225,0.03254316,0.01570997,0.04864085,0.005546269],"domain_scores_gemma":[0.21485,0.3615773,0.0333749,0.1985883,0.1228531,0.06875636],"domain_codex":"methods","domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004212686,0.0005362728,0.001469847,0.003286839,0.0004418896,0.000495384,0.03496502,0.0009889399,0.002834008,0.08838357,0.5038952,0.3622817],"study_design_scores_gemma":[0.0004909252,0.0003954034,0.0008359438,0.002521391,0.00008556023,0.0004269645,0.008975992,0.001789357,0.001502039,0.1464772,0.8362577,0.0002415945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005231592,0.003931933,0.568379,0.3077331,0.03687821,0.0098009,0.0009514607,0.0146523,0.05244155],"genre_scores_gemma":[0.03707996,0.002206865,0.8503087,0.03611344,0.01166558,0.03208152,0.0009893725,0.004394016,0.02516049],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4986274,"threshold_uncertainty_score":0.6148964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6661584423333249,"score_gpt":0.5617253917900159,"score_spread":0.104433050543309,"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."}}