{"id":"W6888594783","doi":"10.21227/kh9f-fk54","title":"CLEAR: A Dataset for Compositional Language and Elementary Acoustic Reasoning","year":2019,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","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":[0.001860071,0.006982325,0.001979728,0.004626443,0.002001321,0.003037854,0.006882503,0.004990946,0.05727198],"category_scores_gemma":[0.01032258,0.001177859,0.003347436,0.005214631,0.001255348,0.004009253,0.004988185,0.004467527,0.07559319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003177183,"about_ca_system_score_gemma":0.003198285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03705791,"about_ca_topic_score_gemma":0.06873561,"domain_scores_codex":[0.9960556,0.0009017261,0.000413794,0.001145868,0.001089686,0.0003933756],"domain_scores_gemma":[0.9959007,0.001289548,0.0002113798,0.001298214,0.0008844614,0.0004157062],"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":[0.0002422133,0.0002480703,0.00102842,0.001254168,0.00007548218,0.000165427,0.0001083837,0.001452336,0.0007723638,0.001392894,0.9776789,0.01558128],"study_design_scores_gemma":[0.0008636166,0.0001984164,0.006079386,0.0006114563,0.0001106708,0.0006152203,0.0005993484,0.0133175,0.004034513,0.008356158,0.965076,0.000137673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003270673,0.0006681462,0.002211509,0.0004752071,0.0002310508,0.0002733495,0.9783475,0.008918175,0.005604314],"genre_scores_gemma":[0.002211209,0.00008849778,0.003262197,0.0001414567,0.0000185302,0.0002778924,0.9923559,0.0002563299,0.001387911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05727198,"threshold_uncertainty_score":0.1915939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02593963329467878,"score_gpt":0.3314918099718965,"score_spread":0.3055521766772177,"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."}}