{"id":"W2343557592","doi":"10.32920/25413007","title":"Increasing Effectiveness of Train Horns Without Increasing Intensity","year":2024,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Transport Canada","keywords":"Acoustics; Noise (video); French horn; QUIET; Range (aeronautics); Intensity (physics); Ambient noise level; Computer science; Engineering; Physics; Artificial intelligence; Optics; Sound (geography)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001416742,0.0001171456,0.0002393086,0.0001184423,0.0001513191,0.0002162175,0.00007644783,0.00003283856,0.0006700333],"category_scores_gemma":[0.0001515846,0.00009167845,0.00009395739,0.00005518504,0.0002223781,0.000223999,0.00004746613,0.0001265137,0.00003874139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004596593,"about_ca_system_score_gemma":0.00005189123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006169104,"about_ca_topic_score_gemma":0.004488131,"domain_scores_codex":[0.999037,0.0002976167,0.0001865021,0.00018821,0.0001382477,0.0001524434],"domain_scores_gemma":[0.9993857,0.0002747372,0.00003868927,0.0001111029,0.0001419053,0.0000479164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004678463,0.0001841704,0.03206666,0.001226232,0.0003393027,0.00004249744,0.01170759,0.000004121478,0.08787651,0.8580811,0.0003911483,0.007612795],"study_design_scores_gemma":[0.002877461,0.001490485,0.5412573,0.009895544,0.0008833845,0.0003316128,0.01759726,0.008795047,0.1487826,0.1265352,0.138558,0.002996143],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9326798,0.0001328946,0.0001325203,0.00004661593,0.0004510679,0.0001339498,0.00001567717,0.0001022862,0.06630523],"genre_scores_gemma":[0.9989259,0.000005836477,0.00004217634,0.00003434312,0.0001954129,0.000004278942,0.000005275176,0.00001680791,0.0007699355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7315459,"threshold_uncertainty_score":0.9325882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02886472493319733,"score_gpt":0.2636519183172955,"score_spread":0.2347871933840982,"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."}}