{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001232748,0.003972345,0.002209357,0.003181005,0.001488312,0.005509115,0.00448097,0.004930709,0.4976118],"category_scores_gemma":[0.003765839,0.001150562,0.00168,0.004978123,0.0007336558,0.002117201,0.003753989,0.002596763,0.7465217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231033,"about_ca_system_score_gemma":0.00181713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01312034,"about_ca_topic_score_gemma":0.01483481,"domain_scores_codex":[0.9989387,0.0001357455,0.00009607761,0.000393012,0.0002061647,0.0002302554],"domain_scores_gemma":[0.9991295,0.0001744511,0.00005845592,0.0002995275,0.0001828825,0.0001552875],"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":[0.00009633991,0.00003740479,0.001250792,0.0006866878,0.00003649352,0.00003982311,0.00002202091,0.0003474988,0.000263188,0.0003129276,0.9862429,0.01066386],"study_design_scores_gemma":[0.0003197227,0.00002891242,0.004396062,0.0003748227,0.00003373586,0.00009721604,0.00007761989,0.001220799,0.0003954571,0.001483919,0.9915324,0.00003928962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002120482,0.0001935206,0.0002268889,0.0002404474,0.0001457055,0.00003122644,0.992703,0.00258849,0.003658845],"genre_scores_gemma":[0.0006522967,0.0001671787,0.0004940645,0.0001262731,0.00001872222,0.0001212142,0.9938952,0.0002587236,0.004266316],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5023882,"threshold_uncertainty_score":0.7165958,"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."}}