{"id":"W2161776803","doi":"","title":"Field trials of geophones as arctic acoustic sensors","year":2004,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Geophone; Global Positioning System; Acoustics; Bearing (navigation); Heading (navigation); Underwater; Remote sensing; Computer science; Geodesy; Arctic; Environmental science; Geology; Telecommunications; Physics; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008688004,0.0002010254,0.0004578534,0.0004474403,0.0001708163,0.00008008563,0.0003941912,0.0001930382,0.005334846],"category_scores_gemma":[0.003061116,0.0001800818,0.0001196568,0.0004203205,0.0001646832,0.00009669999,0.00001279433,0.0003062751,0.0007692975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007723628,"about_ca_system_score_gemma":0.001796958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4607015,"about_ca_topic_score_gemma":0.2270738,"domain_scores_codex":[0.9978058,0.000118157,0.0005734995,0.0002874751,0.0004668593,0.0007482003],"domain_scores_gemma":[0.9974619,0.0009974749,0.0001325083,0.0003604435,0.000208855,0.0008387829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00008830173,0.00002787353,0.01274742,0.0002269971,0.0001128423,0.0005701603,0.0005222209,0.9686875,0.009037371,0.00007127035,0.002019712,0.005888301],"study_design_scores_gemma":[0.01074188,0.007464977,0.4557781,0.00130325,0.001973305,0.001569298,0.008216327,0.3467814,0.02923436,0.1232756,0.008103552,0.005557981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610118,0.0003640675,0.0250254,0.001458445,0.001280122,0.0006641962,0.000924501,0.0000605051,0.009211024],"genre_scores_gemma":[0.995741,0.0001190152,0.002599951,0.0006199357,0.0002188724,0.00000130593,0.00007653799,0.00001173881,0.0006116685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6219061,"threshold_uncertainty_score":0.9955744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03579986977263517,"score_gpt":0.2714126956452146,"score_spread":0.2356128258725794,"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."}}