{"id":"W4236592366","doi":"10.1121/1.2719045.2","title":"10.1121/1.2719045.2","year":2007,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Science Foundation","keywords":"Computer science","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":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0008168601,0.001950633,0.001682601,0.001581802,0.0002671062,0.001742271,0.002353557,0.001655595,0.009286769],"category_scores_gemma":[0.001315819,0.001942706,0.001017941,0.001884398,0.000529828,0.001651526,0.0009832894,0.001855093,0.5091168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008497923,"about_ca_system_score_gemma":0.0002696649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004134323,"about_ca_topic_score_gemma":0.0006077744,"domain_scores_codex":[0.9914725,0.0001121765,0.001555948,0.002087799,0.002472307,0.00229926],"domain_scores_gemma":[0.9939916,0.0006271269,0.0009524458,0.003241186,0.0003360426,0.0008516732],"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":[0.0003984433,0.0006967947,0.0000114842,0.000211366,0.0003501923,0.001216628,0.00001546269,0.000002811304,0.00001391454,0.00001954798,0.9917773,0.00528607],"study_design_scores_gemma":[0.001185368,0.0005511649,0.00009444702,0.00024099,0.0002441953,0.0003507876,0.00004109324,0.000006001571,0.00002965314,0.0001329699,0.994913,0.002210303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001042467,0.0005969375,0.0000157623,0.000009172061,0.0009557689,0.0009395825,0.9352888,0.001009075,0.06108066],"genre_scores_gemma":[0.000428229,0.00002807088,0.00004862608,0.0002848349,0.001609651,0.0001084577,0.9836705,0.0006091751,0.01321242],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.49983,"threshold_uncertainty_score":0.9996405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398128576144621,"score_gpt":0.2722595510994116,"score_spread":0.2582782653379654,"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."}}