{"id":"W3039001205","doi":"10.15626/mp.2019.1992","title":"Multiplicity Control vs Replication","year":2020,"lang":"en","type":"article","venue":"Meta-Psychology","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Multiplicity (mathematics); Replication (statistics); Multiplicity of infection; Computer science; Mathematics; Biology; Statistics; Genetics; In vitro; Geometry","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":[0.3909402,0.003041639,0.005098824,0.006142861,0.004617464,0.008915246,0.007666187,0.009679404,0.008289803],"category_scores_gemma":[0.6786072,0.001945611,0.004703369,0.006494765,0.03535598,0.02020174,0.009596033,0.01319942,0.001534846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004859206,"about_ca_system_score_gemma":0.006486066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001406189,"about_ca_topic_score_gemma":0.0007358975,"domain_scores_codex":[0.356358,0.5560315,0.01672823,0.0276935,0.04123171,0.001957039],"domain_scores_gemma":[0.2208708,0.6317223,0.02827326,0.1010769,0.01657596,0.001480684],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00047366,0.0000705638,0.002102304,0.002309886,0.001102706,0.0002285142,0.003230733,0.002143707,0.0004822294,0.9076174,0.004122815,0.07611547],"study_design_scores_gemma":[0.0003276766,0.000467404,0.000981698,0.001414532,0.000451788,0.0005400987,0.0005591317,0.006150212,0.001377313,0.9621881,0.02538006,0.0001619499],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007728989,0.01228659,0.9338692,0.02082651,0.004490721,0.001957073,0.0002261042,0.0005046758,0.01811016],"genre_scores_gemma":[0.3909264,0.006991849,0.5678552,0.01271328,0.006518814,0.009946158,0.0001571759,0.0005486385,0.004342441],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6090598,"threshold_uncertainty_score":0.7510791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5084974778146327,"score_gpt":0.4953623604817329,"score_spread":0.01313511733289979,"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."}}