{"id":"W2524652555","doi":"10.1145/2964284.2967204","title":"INRS Audiovisual Quality Dataset","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Quality (philosophy); Speech recognition; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0003057655,0.00007722493,0.00008460234,0.00003968456,0.00005238003,0.00006274654,0.0008955466,0.00002513645,0.00002944635],"category_scores_gemma":[0.0001759118,0.00004553815,0.00001689269,0.0001431906,0.00006231688,0.001344826,0.0004566199,0.00003678176,0.0001633343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002894392,"about_ca_system_score_gemma":0.00003807317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001019249,"about_ca_topic_score_gemma":0.000002188806,"domain_scores_codex":[0.9991616,0.00004118472,0.0001501563,0.0002997528,0.0001686315,0.0001786483],"domain_scores_gemma":[0.9990396,0.00009650655,0.00005553463,0.0007060627,0.00004625519,0.00005601089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005255653,0.00006312237,0.0006391224,0.00001189101,0.00000632895,0.000008746332,0.00003627276,6.26177e-8,0.1072221,0.2555232,0.1372109,0.4992729],"study_design_scores_gemma":[0.0009187835,0.0001859952,0.004704155,0.00009143848,0.000004475205,0.00004324321,0.00001196959,0.002194199,0.3846444,0.230225,0.3759375,0.001038929],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002213756,0.00001946757,0.9947383,0.00215922,0.00004873194,0.00004137596,0.00003420024,0.0008106064,0.001926695],"genre_scores_gemma":[0.06972512,0.000007777259,0.9284704,0.000969869,0.00002357715,0.000009325554,0.000007943591,0.000005052049,0.0007808922],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.498234,"threshold_uncertainty_score":0.2099386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03993526546755415,"score_gpt":0.3779546367234578,"score_spread":0.3380193712559036,"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."}}