{"id":"W4249566089","doi":"10.1121/1.2739111.4","title":"10.1121/1.2739111.4","year":2007,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0008080973,0.001956915,0.001688453,0.001583875,0.0002652557,0.001750749,0.002382333,0.001624856,0.009551116],"category_scores_gemma":[0.001288868,0.001948052,0.001023209,0.001897089,0.0005319854,0.001692947,0.00100322,0.00184096,0.5237335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008592822,"about_ca_system_score_gemma":0.0002761236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003888407,"about_ca_topic_score_gemma":0.0005853809,"domain_scores_codex":[0.991446,0.0001115491,0.001561322,0.002088681,0.002479761,0.002312752],"domain_scores_gemma":[0.9940008,0.0006278979,0.0009547886,0.003238308,0.0003367889,0.0008414169],"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":[0.0004113297,0.0007076393,0.00001150926,0.0002136417,0.0003504878,0.001294603,0.00001594691,0.000002765723,0.00001467652,0.00001867727,0.9922495,0.004709236],"study_design_scores_gemma":[0.001194325,0.0005571507,0.0001040639,0.0002374543,0.0002446852,0.0003670535,0.00003843652,0.000005940136,0.00002852689,0.0001347376,0.9948707,0.002216916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001143881,0.0005761007,0.00001485275,0.000009677326,0.0009815834,0.0009663773,0.9375997,0.0009923511,0.05874502],"genre_scores_gemma":[0.000412751,0.0000280395,0.00004685628,0.0003055214,0.001626188,0.0001103904,0.9834743,0.0006095656,0.01338635],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5141824,"threshold_uncertainty_score":0.9996712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400812241881741,"score_gpt":0.2723379791240053,"score_spread":0.2583298567051878,"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."}}