{"id":"W2089222593","doi":"10.1121/1.3588002","title":"<i>In-situ</i> calibration of infrasound array elements.","year":2011,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Infrasound; Noise (video); Calibration; Acoustics; Ambient noise level; Frequency response; Missile; Remote sensing; Computer science; Environmental science; Geology; Physics; Sound (geography); Engineering; Aerospace engineering; Electrical engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008344671,0.0006196792,0.0002407048,0.0006637394,0.0007210331,0.0005036372,0.001199272,0.0008521318,0.005841976],"category_scores_gemma":[0.002752767,0.0002884502,0.0001727359,0.0007279196,0.0003727473,0.0009216927,0.0008810209,0.0005926334,0.00215994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004331832,"about_ca_system_score_gemma":0.0004054054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001606924,"about_ca_topic_score_gemma":0.005819223,"domain_scores_codex":[0.9990664,0.0001495165,0.00005017118,0.000275143,0.0004130283,0.00004580532],"domain_scores_gemma":[0.9987778,0.0001475514,0.0001945521,0.0002671428,0.0005729208,0.00003998699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001954448,0.00007618372,0.006610828,0.0002717045,0.00002672067,0.000135601,0.0003118205,0.002998189,0.9179055,0.001606351,0.006662141,0.06319964],"study_design_scores_gemma":[0.00001872506,0.0002522673,0.01374045,0.00003343748,0.00003817908,0.000568167,0.0003142079,0.02190599,0.9375182,0.0009687398,0.02458796,0.00005351014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1364694,0.0003523353,0.8291107,0.0004390447,0.0005956513,0.000231754,0.003644745,0.0039973,0.02515905],"genre_scores_gemma":[0.627028,0.0004288977,0.3588453,0.0003379745,0.0001055023,0.0003580754,0.003964539,0.0005847904,0.008347087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005841976,"threshold_uncertainty_score":0.01954335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411849249722541,"score_gpt":0.2153101381260286,"score_spread":0.2011916456288032,"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."}}