{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003748457,0.0001578532,0.0006636151,0.00008356468,0.0001222161,0.00006004158,0.001073185,0.0001712529,0.001364636],"category_scores_gemma":[0.005690158,0.0001007714,0.0003421183,0.0005534536,0.0001829265,0.0001954541,0.00008985644,0.0002447056,0.002397184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009657638,"about_ca_system_score_gemma":0.0000246619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001664045,"about_ca_topic_score_gemma":0.00001483453,"domain_scores_codex":[0.9964249,0.0007450539,0.000778068,0.00121408,0.0005666148,0.0002712701],"domain_scores_gemma":[0.996685,0.0008164716,0.0002661774,0.001786886,0.0002436652,0.0002017449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003041605,0.00120699,0.04601913,0.00002085766,0.001929868,0.00004599281,0.00370982,0.002876735,0.03780145,0.0379956,0.3567019,0.50865],"study_design_scores_gemma":[0.002036,0.0003432388,0.0954628,7.634142e-7,0.0003549581,0.00001650885,0.00002328992,0.01551184,0.0006978235,0.1802301,0.7050272,0.0002954433],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1015299,0.0007747326,0.67997,0.2054771,0.0005163689,0.0007251553,0.00007194364,0.0002126698,0.01072214],"genre_scores_gemma":[0.950846,0.00002053354,0.002844457,0.04582332,0.0001315901,0.00006949522,0.00000326757,0.00000887135,0.0002524334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8493161,"threshold_uncertainty_score":0.9995483,"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."}}