{"id":"W1925212502","doi":"","title":"Hybrid image/energy approach for acoustical predictions of industrial rooms","year":2000,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Soft dB (Canada)","funders":"","keywords":"Acoustics; Computation; Energy (signal processing); Computer science; Room acoustics; Architectural acoustics; Interface (matter); Engineering; Physics; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001792326,0.0004770688,0.0003824618,0.0004495684,0.0001940801,0.0005007577,0.0008501727,0.0006253431,0.002355498],"category_scores_gemma":[0.0004409561,0.0002621743,0.0005894773,0.0002907499,0.00029739,0.0006997218,0.0004427959,0.0004033452,0.0005034347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003930153,"about_ca_system_score_gemma":0.0003624202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006152855,"about_ca_topic_score_gemma":0.004202304,"domain_scores_codex":[0.9998568,0.00002603396,0.000005480222,0.00002360977,0.00007366935,0.00001439743],"domain_scores_gemma":[0.9998637,0.00006800131,0.00001042858,0.00001234212,0.00003667633,0.000008796764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005121758,0.00004340198,0.0006276959,0.0000454449,0.00001492563,0.00009758099,0.00005306652,0.9180387,0.01470837,0.006866158,0.000503901,0.0589496],"study_design_scores_gemma":[0.000001836491,0.000005372352,0.00006938791,0.000001051867,0.000001570737,0.00001012347,0.000004968254,0.9979786,0.001106882,0.0005973041,0.0002189246,0.000003959209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02151754,0.00008482981,0.9761041,0.00004305875,0.00002164164,0.00001151013,0.00002533419,0.0004185931,0.001773296],"genre_scores_gemma":[0.7851943,0.0003337077,0.2070222,0.00005120707,0.00004894734,0.00008608781,0.0001121778,0.0001997702,0.00695165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006152855,"threshold_uncertainty_score":0.01223409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127337050664547,"score_gpt":0.2195100824921125,"score_spread":0.198236711985467,"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."}}