{"id":"W4399900579","doi":"10.18280/ria.380308","title":"BT Detection Using Improved Whale Optimization and Convolutional Neural Networks","year":2024,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Whale; Convolutional neural network; Computer science; Artificial intelligence; Fishery; Pattern recognition (psychology); Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006498921,0.0008059496,0.0005977163,0.0008593251,0.000307057,0.0005916779,0.0008839778,0.0007764184,0.00133157],"category_scores_gemma":[0.00129301,0.0003841679,0.0008501249,0.0006525823,0.0003418635,0.0008150774,0.0005318812,0.0004845781,0.0003643166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008181339,"about_ca_system_score_gemma":0.000746333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01688782,"about_ca_topic_score_gemma":0.02131103,"domain_scores_codex":[0.9997116,0.00004080207,0.00001844897,0.00008911567,0.00008227379,0.00005776143],"domain_scores_gemma":[0.9996725,0.000119837,0.00005108247,0.00004873436,0.00009520999,0.00001251385],"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":[0.000336911,0.0001312991,0.002518802,0.00009127573,0.0001732643,0.0001712096,0.00006343357,0.6423337,0.03171933,0.003325786,0.002523079,0.3166119],"study_design_scores_gemma":[0.000002779392,0.00001746597,0.0004339548,0.000002005066,0.000007442289,0.00001782687,0.00000341756,0.9952282,0.00369465,0.0003254019,0.0002628496,0.000004056262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1133713,0.0004473727,0.8809083,0.0001768655,0.00004832718,0.00006681532,0.0001495469,0.002533505,0.002297924],"genre_scores_gemma":[0.6737687,0.0001994208,0.3173583,0.0001236426,0.00003025295,0.0000763541,0.0005913377,0.0002835855,0.007568329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01688782,"threshold_uncertainty_score":0.03357905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731040103453556,"score_gpt":0.2233595862299164,"score_spread":0.2060491851953808,"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."}}