{"id":"W2167210597","doi":"","title":"Characterization of Sound Emitted by Wind Machines Used For Frost Control","year":2007,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs","funders":"","keywords":"Aerodynamics; Sound pressure; Acoustics; Infrasound; Annoyance; Noise control; Frost (temperature); Noise (video); Sound energy; Wind speed; Engineering; Wind power; Environmental science; Sound (geography); Meteorology; Aerospace engineering; Noise reduction; Computer science; Electrical engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115289,0.00008490548,0.0001175428,0.00003073577,0.0001208723,0.00001125694,0.00008865173,0.00005521075,0.0001595498],"category_scores_gemma":[0.00005406886,0.00008183255,0.00002750502,0.00009162473,0.00009948632,0.00004963889,0.000009749459,0.00003969491,0.00001455466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001088811,"about_ca_system_score_gemma":0.00002020823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00450369,"about_ca_topic_score_gemma":0.01107487,"domain_scores_codex":[0.999374,0.000005519124,0.0001483559,0.000119529,0.00009175635,0.0002608525],"domain_scores_gemma":[0.9996229,0.00005544599,0.0000560866,0.00008733039,0.00001366272,0.0001645471],"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":[0.00001018013,0.00001772238,0.1188367,0.00001149501,0.00001689901,0.000002946965,0.0002529581,0.0001325497,0.8714235,0.00001628877,0.007127589,0.002151149],"study_design_scores_gemma":[0.001238159,0.00008684492,0.9633126,0.0000140887,0.00007213546,0.000001446081,0.0001463762,0.00492865,0.00498237,0.0001992242,0.0246949,0.0003231848],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721441,0.00001649873,0.02577351,0.0002237513,0.000165637,0.0002186184,0.001058975,0.000009187531,0.0003896957],"genre_scores_gemma":[0.9983998,0.000003574093,0.0001496714,0.0006363905,0.00008697477,0.000002487582,0.0001049831,0.0000119203,0.0006041814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8664412,"threshold_uncertainty_score":0.6808261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005896784956618297,"score_gpt":0.2033518143607879,"score_spread":0.1974550294041696,"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."}}