{"id":"W3216901081","doi":"10.1121/10.0007997","title":"Novel software for deep-learning based acoustic data analysis","year":2021,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Carleton University; University of Victoria; Simon Fraser University; Dalhousie University","funders":"","keywords":"Computer science; Leverage (statistics); Deep learning; Artificial intelligence; Software; Artificial neural network; Deep neural networks; Machine learning; Adaptation (eye); Range (aeronautics); Set (abstract data type); Dashboard; Human–computer interaction; Data science; Engineering","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":[0.002693926,0.002715692,0.001208096,0.002448526,0.0006505685,0.00239406,0.004334751,0.001665917,0.05118069],"category_scores_gemma":[0.006631045,0.001985417,0.002388027,0.001473245,0.0008919371,0.002556249,0.003941945,0.004338207,0.02568022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009765853,"about_ca_system_score_gemma":0.00192857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003603512,"about_ca_topic_score_gemma":0.00433446,"domain_scores_codex":[0.998473,0.0001660477,0.0001926493,0.0004059253,0.000659291,0.0001030519],"domain_scores_gemma":[0.9979418,0.0009192728,0.0001482955,0.0003831069,0.0004872116,0.0001203063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001199661,0.0005645984,0.004131927,0.002163578,0.001069751,0.00122537,0.0006913086,0.05789876,0.04018073,0.0288741,0.3008906,0.5611096],"study_design_scores_gemma":[0.0003535878,0.0001329244,0.002297997,0.0002727947,0.00009287,0.0007467635,0.0001083749,0.6477328,0.04776073,0.05468355,0.2455664,0.0002512318],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001071077,0.0001619261,0.7286757,0.0001792067,0.0001705831,0.0002233329,0.004178865,0.263015,0.002324319],"genre_scores_gemma":[0.03447142,0.0007098202,0.8659844,0.0009133907,0.0001404504,0.002300585,0.02763966,0.0516699,0.01617036],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05118069,"threshold_uncertainty_score":0.1712165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03951320113399994,"score_gpt":0.2865089218595113,"score_spread":0.2469957207255114,"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."}}