{"id":"W4284963965","doi":"10.1121/10.0012186.3","title":"10.1121/10.0012186.3","year":2022,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Cambridge","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004202196,0.0007250101,0.0008471909,0.0006051301,0.0003096446,0.0004093234,0.001890499,0.0008509211,0.7126942],"category_scores_gemma":[0.0002756004,0.0007353473,0.0004476391,0.0007063724,0.0003468177,0.0001926111,0.001233068,0.001966845,0.06861887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001870809,"about_ca_system_score_gemma":0.0001685155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007956926,"about_ca_topic_score_gemma":0.0001449555,"domain_scores_codex":[0.9954709,0.0002814062,0.0006836061,0.001327801,0.0008620468,0.001374179],"domain_scores_gemma":[0.9965312,0.0005874317,0.0002923085,0.002121713,0.0001016107,0.0003656641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004608715,0.0007358392,0.00001686076,0.00005634155,0.0004487202,0.0009168205,0.0001375501,7.291961e-7,0.000003961894,0.00003808576,0.9904242,0.006760051],"study_design_scores_gemma":[0.0009387463,0.001309049,0.0005275162,0.00001562192,0.00006537191,0.0002253543,0.0000934683,0.000001494794,0.000002097096,0.0003307739,0.9957279,0.0007625879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003882786,0.001147726,0.000001484394,0.00007352096,0.001768737,0.0005157708,0.9053437,0.0001451838,0.0906156],"genre_scores_gemma":[0.0007172246,0.00006718655,0.000003098135,0.0002642616,0.0004844572,0.0004494571,0.8864151,0.0001078179,0.1114914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6440753,"threshold_uncertainty_score":0.9995098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02581203019826908,"score_gpt":0.3291608579055841,"score_spread":0.303348827707315,"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."}}