{"id":"W2849781392","doi":"10.1145/3230543.3230558","title":"Oboe","year":2018,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":317,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Army Research Office; National Science Foundation","keywords":"Oboe; Computer science; Testbed; Metric (unit); Artificial neural network; Artificial intelligence; Speech recognition; Computer network; Engineering; Acoustics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001347553,0.001103382,0.0008506066,0.0008560687,0.0006652679,0.002056962,0.00160121,0.0007769194,0.02758904],"category_scores_gemma":[0.006574295,0.0002981625,0.0004359334,0.0006576063,0.0003260837,0.002078421,0.002088092,0.001160851,0.007659243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007190768,"about_ca_system_score_gemma":0.0009815155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00282973,"about_ca_topic_score_gemma":0.002665197,"domain_scores_codex":[0.9987264,0.0001923267,0.00007414715,0.0002086869,0.0005155498,0.0002828889],"domain_scores_gemma":[0.9973131,0.0006289635,0.0001912701,0.0007016521,0.0009328678,0.000232012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001862218,0.0009206787,0.009300947,0.0007222677,0.0001124614,0.0003677628,0.0003095816,0.03772164,0.04524697,0.01833548,0.05497511,0.8301249],"study_design_scores_gemma":[0.0004867002,0.001961445,0.02273239,0.0004584665,0.000288142,0.002329386,0.0009621594,0.4997317,0.07331793,0.04076636,0.3567332,0.0002320921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.1512886,0.005968458,0.5432204,0.00246708,0.001328403,0.001985391,0.004250411,0.03266358,0.2568277],"genre_scores_gemma":[0.8568776,0.00203863,0.08225296,0.001748653,0.0003566763,0.0005941201,0.004882755,0.001827856,0.04942075],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02758904,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754977331507379,"score_gpt":0.3257200236484668,"score_spread":0.298170250333393,"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."}}