{"id":"W2213791619","doi":"","title":"MULTISTATIC SONAR OPERATOR VISUALIZATION DEVELOPMENT REQUIREMENTS","year":2015,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Sonar; Visualization; Computer science; Key (lock); Operator (biology); Field (mathematics); Marine mammals and sonar; Systems engineering; Real-time computing; Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002181514,0.0001187771,0.0001003629,0.0001260084,0.0001858431,0.0002064145,0.0005050114,0.00006924181,0.0000271534],"category_scores_gemma":[0.0001007372,0.0001244883,0.00001223993,0.0002808409,0.00002338542,0.0002352167,0.0000737915,0.00007854462,0.0002968244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003552603,"about_ca_system_score_gemma":0.001148261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002018642,"about_ca_topic_score_gemma":0.002067592,"domain_scores_codex":[0.9988241,0.00003474227,0.0002258477,0.0002631421,0.0002786486,0.0003735744],"domain_scores_gemma":[0.9986159,0.00002180871,0.00004672078,0.0003347469,0.000203749,0.0007770798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008259452,0.0001296357,0.006269382,0.00006287691,0.00006563624,0.0006640786,0.01139098,0.02511084,0.001259907,0.02945281,0.7347025,0.1908831],"study_design_scores_gemma":[0.0008471329,0.00006842393,0.008546804,0.0000792432,0.00001441256,0.00003604009,0.0003472319,0.5237029,0.000246648,0.0004659828,0.4649554,0.0006898708],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02455169,0.0001056572,0.9731364,0.0001467078,0.001132549,0.0001337089,0.00002109434,0.0001284175,0.0006438387],"genre_scores_gemma":[0.7174541,0.00000907109,0.2803315,0.001437018,0.0001120609,0.000008691085,0.00009345378,0.00001790898,0.0005362331],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6929024,"threshold_uncertainty_score":0.5076487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05671713002407999,"score_gpt":0.279542775391336,"score_spread":0.222825645367256,"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."}}