{"id":"W2469810256","doi":"","title":"Amec Foster Wheeler","year":2016,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise (video); Environmental noise; Acoustics; Noise control; Sound (geography); Engineering; Fossil fuel; Civil engineering; Business; Computer science; Noise reduction; Physics; Waste management; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002643998,0.0001153666,0.00009553708,0.0000912316,0.0000326772,0.000015924,0.0001216538,0.00009710636,0.000597654],"category_scores_gemma":[0.0000152452,0.00008908939,0.00002984117,0.00007253905,0.00005510715,0.00004531624,0.000003088642,0.00007494532,0.0004840415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001884544,"about_ca_system_score_gemma":0.00007839916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005786095,"about_ca_topic_score_gemma":0.01074758,"domain_scores_codex":[0.9993378,0.000002864741,0.0001178745,0.00009803481,0.00006892637,0.0003745368],"domain_scores_gemma":[0.9993299,0.00002462922,0.000006481952,0.0002047086,0.00003073312,0.0004035737],"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":[0.000004857667,0.00001383125,0.009069106,0.0001072077,0.0001254832,0.0006182386,0.0002747971,0.002746876,0.065445,0.008626123,0.8631782,0.04979029],"study_design_scores_gemma":[0.001076252,0.00006459152,0.07728974,0.0001247578,0.0001463622,0.0000398925,0.0000562509,0.0125837,0.001413012,0.002711089,0.9031308,0.001363555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1137794,0.001046002,0.6361395,0.001452374,0.00554422,0.0004261436,0.001573151,0.001155493,0.2388837],"genre_scores_gemma":[0.9960405,0.00006892158,0.0007266995,0.0004393654,0.0002042669,0.000003506169,0.000008235304,0.00004037531,0.00246809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8822611,"threshold_uncertainty_score":0.6543892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443899031367223,"score_gpt":0.158738641703276,"score_spread":0.1442996513896037,"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."}}