{"id":"W6946218962","doi":"10.34943/15a8770d-2525-4a7a-bc7c-af56abfe5ef0","title":"CCGS John P. Tully Echosounder, Bioacoustic Deployed 2022-05-17","year":2022,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coast guard; Software deployment; Echo sounding; Backscatter (email); Transducer; Bioacoustics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001461807,0.002073721,0.001824278,0.0001607071,0.002186081,0.0004369699,0.003417456,0.001416309,0.01462881],"category_scores_gemma":[0.0001622046,0.00240108,0.001297751,0.002670951,0.0005566008,0.0002262273,0.001456708,0.006345348,0.00002193536],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.009839906,"about_ca_system_score_gemma":0.01025287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7496967,"about_ca_topic_score_gemma":0.8775626,"domain_scores_codex":[0.9885761,0.0006167974,0.001478955,0.002470237,0.003709252,0.003148686],"domain_scores_gemma":[0.9928641,0.0008110258,0.001381904,0.003388798,0.0002990266,0.001255114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005698001,0.0001676408,0.00002869857,0.0002300203,0.001364753,0.0005837638,0.0000413976,0.03877899,0.000002415878,0.000003606815,0.9586906,0.00005112649],"study_design_scores_gemma":[0.001206364,0.000100953,0.000037096,0.0001105588,0.001235914,0.0001314416,0.0006467658,0.006253158,5.188942e-7,0.00002455641,0.9878977,0.002354953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005615493,0.005690261,0.0000920841,0.0002909827,0.006111856,0.001273853,0.9859062,0.0005341541,0.00004445108],"genre_scores_gemma":[0.0002207023,0.002963083,0.0001258012,0.006779526,0.002252026,0.0001007102,0.9843603,0.0008716646,0.002326204],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1278659,"threshold_uncertainty_score":0.9998801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007679501636311763,"score_gpt":0.208581685479609,"score_spread":0.2009021838432972,"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."}}