{"id":"W2472263183","doi":"","title":"Overview of acoustics research at Defence Research and Development Canada -- Toronto Research Centre","year":2016,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Research centre; Engineering; Aeronautics; Engineering ethics; Computer science; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003092932,0.0001489483,0.0001911791,0.0001200478,0.0008452119,0.00004738741,0.0005016928,0.0001497085,0.003470693],"category_scores_gemma":[0.0009340458,0.0001263245,0.00001253882,0.0004543121,0.001371129,0.0001475048,0.0006591316,0.0002579085,0.0002745044],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01235913,"about_ca_system_score_gemma":0.002806339,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9634641,"about_ca_topic_score_gemma":0.9967971,"domain_scores_codex":[0.9955468,0.0003920244,0.0003485196,0.0005026107,0.00181039,0.001399683],"domain_scores_gemma":[0.9973993,0.0006871384,0.00004722498,0.0005363361,0.0003870485,0.0009428954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007323278,0.00005123616,0.2988882,0.0002534168,0.00003647174,0.0001895308,0.00129148,0.00007878506,0.3831153,0.0009885809,0.2899983,0.02503546],"study_design_scores_gemma":[0.0006997738,0.0001865137,0.7652251,0.0004355191,0.00001319288,0.00006947306,0.003125612,0.0001715976,0.01640027,0.00123117,0.2118238,0.0006179779],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995693,0.0003278253,0.0000522443,0.0004768039,0.0003572759,0.000398481,0.0001360447,0.00000974012,0.002548596],"genre_scores_gemma":[0.9956242,0.0004265536,0.001328637,0.0000367814,0.00009702481,0.00001711985,0.000006889112,0.00003013831,0.002432667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4663369,"threshold_uncertainty_score":0.9974403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102720369611019,"score_gpt":0.3255985606483855,"score_spread":0.2228781910373665,"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."}}