{"id":"W6925962417","doi":"10.21227/107d-hk82","title":"CLEAR: A Dataset for Compositional Language and Elementary Acoustic Reasoning","year":2019,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Task (project management); Acoustic model; Code (set theory); Order (exchange); Scheme (mathematics)","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":[0.001723852,0.005775617,0.00165708,0.004357304,0.001699096,0.002530646,0.005593759,0.004311422,0.04015991],"category_scores_gemma":[0.009464991,0.00100059,0.00297493,0.004536048,0.001135202,0.003093531,0.004234347,0.003953687,0.05854849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002826801,"about_ca_system_score_gemma":0.002831238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03049914,"about_ca_topic_score_gemma":0.06132094,"domain_scores_codex":[0.9964389,0.0008318275,0.0003968834,0.001002223,0.0009864885,0.0003437712],"domain_scores_gemma":[0.9962127,0.001192464,0.0002163868,0.001158735,0.0008501353,0.0003695594],"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":[0.0002876911,0.0002973606,0.001584642,0.001479131,0.00008807313,0.0002013887,0.0001389891,0.001674177,0.001077066,0.001570063,0.9720513,0.01955015],"study_design_scores_gemma":[0.0008603635,0.0002058792,0.008956054,0.0005626757,0.0001146681,0.0006759192,0.0005901724,0.01351319,0.004330084,0.007545243,0.9625119,0.0001337705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004335958,0.0006916934,0.002538004,0.0004565089,0.0002013049,0.0002963125,0.977823,0.008335693,0.005321631],"genre_scores_gemma":[0.00283035,0.00009120435,0.003613977,0.0001451588,0.00001915391,0.0003218109,0.9913775,0.0002329103,0.001367889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04015991,"threshold_uncertainty_score":0.1343483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590827152566443,"score_gpt":0.3388993667689945,"score_spread":0.3129910952433301,"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."}}