{"id":"W4255499788","doi":"10.1121/1.2739111.1","title":"10.1121/1.2739111.1","year":2007,"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":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science; Computer graphics (images)","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005156118,0.000721249,0.0008117511,0.0007134519,0.0001593953,0.0003823989,0.001449264,0.001485347,0.03313473],"category_scores_gemma":[0.0002482744,0.0006922905,0.0003993649,0.0006477464,0.000441583,0.0001777233,0.0005291353,0.001697769,0.1169754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001237191,"about_ca_system_score_gemma":0.0001135531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007465492,"about_ca_topic_score_gemma":0.0002982298,"domain_scores_codex":[0.9957624,0.0001216887,0.0007241028,0.001175234,0.0007130132,0.001503559],"domain_scores_gemma":[0.9966622,0.0006084338,0.0002652198,0.00190117,0.000144612,0.0004183842],"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":[0.0003750462,0.0005609989,0.00002106949,0.00005620824,0.0003520564,0.001013592,0.0001154156,1.789319e-7,0.000006300938,0.00004288038,0.985883,0.01157323],"study_design_scores_gemma":[0.0008360175,0.0007975759,0.00124572,0.00004064877,0.00005491935,0.0002438134,0.00005690448,0.000001010004,0.000007237215,0.0003695724,0.9956188,0.0007278105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005618604,0.001021896,0.00001393388,0.00004140658,0.001804805,0.0004558346,0.9034293,0.0001303486,0.0925406],"genre_scores_gemma":[0.00154965,0.00006044789,0.00001020906,0.0003513691,0.0009767343,0.0001026057,0.9520488,0.00009804517,0.04480218],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08384071,"threshold_uncertainty_score":0.9998109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0275500315595739,"score_gpt":0.3508857553433162,"score_spread":0.3233357237837423,"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."}}