{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008429817,0.003786959,0.002202705,0.003323,0.001481945,0.004632451,0.006367368,0.005377636,0.4924324],"category_scores_gemma":[0.003457149,0.001463009,0.001601518,0.005343788,0.0007711219,0.003261236,0.004251657,0.002858696,0.8018354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001370036,"about_ca_system_score_gemma":0.00131309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009570249,"about_ca_topic_score_gemma":0.01224323,"domain_scores_codex":[0.9991361,0.0000836933,0.00007808262,0.0003444334,0.0001905511,0.0001670384],"domain_scores_gemma":[0.9992492,0.0001397931,0.00005398034,0.000276105,0.000156478,0.0001244523],"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":[0.00006968025,0.00003957227,0.0006977225,0.0003930887,0.00002667089,0.000031462,0.00002187227,0.0003716519,0.0003079335,0.000351554,0.9871164,0.01057237],"study_design_scores_gemma":[0.000143238,0.00001981218,0.00218442,0.0001863447,0.00002913271,0.0001024137,0.00006950475,0.001167213,0.0004446847,0.001796203,0.9938263,0.00003065692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003034388,0.0003136903,0.0006745368,0.0003964316,0.0002241368,0.00003825497,0.9852637,0.006565802,0.006220018],"genre_scores_gemma":[0.0006216273,0.0001872252,0.0006795707,0.00009752589,0.00001909742,0.0001003472,0.9934062,0.0003281798,0.004560251],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5075676,"threshold_uncertainty_score":0.7239835,"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."}}