{"id":"W2134025716","doi":"10.1002/nav.21513","title":"Accuracy assessment of detection performance for sidescan sonars","year":2012,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Defence Research and Development Canada","keywords":"Piecewise; Sonar; Computer science; Range (aeronautics); Interval (graph theory); Representation (politics); Function (biology); Logistic regression; Data mining; Marine engineering; Artificial intelligence; Machine learning; Mathematics; Engineering; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00476996,0.0001491547,0.0003168569,0.0001390258,0.0002480164,0.00002467614,0.0002418324,0.0001251951,0.00003946257],"category_scores_gemma":[0.0215249,0.0001270237,0.0000787735,0.0002344981,0.0002906638,0.0001817118,0.0001409164,0.0004904055,0.000005917489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002180794,"about_ca_system_score_gemma":0.0001663407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002296975,"about_ca_topic_score_gemma":0.00001220882,"domain_scores_codex":[0.9973901,0.0002825175,0.000437964,0.0002426896,0.0008256727,0.0008210413],"domain_scores_gemma":[0.9877886,0.01066423,0.0001533657,0.0003813547,0.000773958,0.0002384624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001868055,0.0004457988,0.0007323282,0.0009184076,0.00004422781,0.000001771461,0.0001916922,0.000181291,0.01487437,0.6522992,0.0005542085,0.3295699],"study_design_scores_gemma":[0.0008533988,0.001158604,0.002915285,0.0001185421,0.00005754382,0.000007301202,0.0002770967,0.09875982,0.03079267,0.8589484,0.005793869,0.0003174614],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02545841,0.00008856499,0.9698498,0.00004804341,0.00020233,0.0006964608,0.00009536323,0.00003388623,0.003527167],"genre_scores_gemma":[0.5894021,0.00008136954,0.4100038,0.000007009317,0.0001429284,0.0000993314,0.000004533191,0.0000225694,0.0002363864],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5639437,"threshold_uncertainty_score":0.9867172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.556571151684996,"score_gpt":0.6155996670772744,"score_spread":0.05902851539227838,"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."}}