{"id":"W1482721006","doi":"","title":"A preview of the draft CSA guideline - Noise emission declarations for machinery","year":2001,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Guideline; Noise (video); Engineering; Noise control; Hull; Computer science; Noise reduction; Political science; Marine engineering; Artificial intelligence; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006064111,0.001313383,0.0008394548,0.005316395,0.004319519,0.003407849,0.002746178,0.008895516,0.02117977],"category_scores_gemma":[0.01684649,0.0009532152,0.001206772,0.004473174,0.001425177,0.001597916,0.001272767,0.004681667,0.01227962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008899822,"about_ca_system_score_gemma":0.0534686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4826756,"about_ca_topic_score_gemma":0.6788135,"domain_scores_codex":[0.9876257,0.001216583,0.001026729,0.0003123897,0.008966848,0.0008517015],"domain_scores_gemma":[0.9720129,0.002905681,0.0006951509,0.0004681269,0.02297041,0.0009477378],"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":[0.00001743991,0.00008014404,0.0003566539,0.0002395458,0.000003103938,0.0002064681,0.0003354645,0.0005323946,0.001182636,0.003277468,0.9671627,0.02660602],"study_design_scores_gemma":[0.00001078961,0.0000376961,0.002707683,0.0004370717,0.00000823285,0.00009704069,0.0003721548,0.0001867281,0.0004374995,0.0007889804,0.9948636,0.00005255161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009704884,0.01605513,0.04252108,0.1253878,0.03764011,0.006160924,0.02929902,0.003521036,0.72971],"genre_scores_gemma":[0.03450706,0.02018128,0.09967607,0.06091508,0.004285702,0.003198472,0.03287837,0.001184236,0.7431738],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5173243,"threshold_uncertainty_score":0.9597323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218148934840249,"score_gpt":0.236626434715228,"score_spread":0.2244449453668255,"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."}}