{"id":"W2070222103","doi":"10.1121/1.1701897","title":"Experimental validation of regularized array element localization","year":2004,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; University of Victoria","funders":"","keywords":"Inversion (geology); Acoustics; Monte Carlo method; Position (finance); Receiver function; Computer science; Geology; Algorithm; Physics; Geodesy; Optics; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0007079653,0.00008348784,0.000198146,0.00002006177,0.0001362694,0.00001441965,0.0004712892,0.00004107539,0.0003358478],"category_scores_gemma":[0.0000829589,0.00004249772,0.0001930741,0.0002561375,0.000579423,0.00009228714,0.00003242399,0.0002006156,0.000004452593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003132296,"about_ca_system_score_gemma":0.0001279067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003170273,"about_ca_topic_score_gemma":0.00000149582,"domain_scores_codex":[0.9983429,0.0001618016,0.0004226922,0.00006364706,0.0008298116,0.0001791427],"domain_scores_gemma":[0.9989774,0.0001984244,0.0003956811,0.000184528,0.0001772083,0.00006676951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001322554,0.0000958776,0.0006745493,0.00002146304,0.0000852495,2.891362e-7,0.001136836,0.8499473,0.1458459,0.000001032629,0.0008513869,0.001207851],"study_design_scores_gemma":[0.001187527,0.0009281702,0.001813468,0.00008638652,0.000180836,0.00003677549,0.004227964,0.344732,0.6436131,0.002767139,0.0003041039,0.000122474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05531346,0.000123222,0.9425765,0.00160569,0.0001073754,0.0001316437,0.00001131184,0.000003416103,0.0001273308],"genre_scores_gemma":[0.9557419,0.00009939588,0.0437795,0.0002821394,0.00006946557,1.426848e-7,0.000002978641,0.000003491049,0.0000209471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9004285,"threshold_uncertainty_score":0.3677298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788360944416924,"score_gpt":0.2630871369727844,"score_spread":0.2452035275286152,"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."}}