{"id":"W2318013589","doi":"10.1177/154193120504901205","title":"Modeling the Effectiveness of Tools to Assist Sonar Operators","year":2005,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Sonar; Operator (biology); Computer science; Task (project management); Variety (cybernetics); Underwater; Process (computing); Noise (video); Identification (biology); Harmonics; Systems engineering; Engineering; Artificial intelligence; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001761032,0.001348467,0.000420119,0.0006227398,0.0004351219,0.001421344,0.001040668,0.001340407,0.001729929],"category_scores_gemma":[0.008795016,0.0004896795,0.0004084883,0.0002645381,0.0006980018,0.00131371,0.000772793,0.0005022424,0.000307243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001046222,"about_ca_system_score_gemma":0.0008951456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006680265,"about_ca_topic_score_gemma":0.00323352,"domain_scores_codex":[0.9992359,0.0003595004,0.00004252957,0.00009652227,0.0001617653,0.0001038293],"domain_scores_gemma":[0.9955176,0.003182271,0.0004286792,0.0002693632,0.0004882098,0.0001139067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002267653,0.00009612136,0.001424419,0.00006006522,0.00001982054,0.00005968965,0.0001232731,0.9799598,0.002892904,0.001597632,0.0001294312,0.01340998],"study_design_scores_gemma":[0.00001963209,0.0001603917,0.0003116509,0.00001042507,0.00001679375,0.00001522244,0.0000403541,0.9964182,0.001998091,0.0006697645,0.0003311027,0.000008395423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7505209,0.0004404811,0.2389411,0.0004046461,0.00006179388,0.0002857454,0.0001419227,0.0008059583,0.008397405],"genre_scores_gemma":[0.9783344,0.0001362765,0.02043713,0.00001829666,0.00000541472,0.00007594493,0.00003884848,0.00001752588,0.0009361203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006680265,"threshold_uncertainty_score":0.01328272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02769130557980372,"score_gpt":0.2489592239248428,"score_spread":0.2212679183450391,"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."}}