{"id":"W6965446876","doi":"10.34943/bb9314bb-205c-43d7-a4d5-acb20cc0fa90","title":"Barkley Canyon Upper Slope Echosounder, Bioacoustic Deployed 2014-05-03","year":2014,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canyon; Echo sounding; Submarine canyon; Street canyon; Transducer; Software deployment; Backscatter (email)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006701784,0.0014552,0.0008575534,0.002815101,0.0009749793,0.001381255,0.002140361,0.00113143,0.0114281],"category_scores_gemma":[0.003527115,0.0004385668,0.0005474685,0.005392061,0.0004536091,0.0008385985,0.001266692,0.001186108,0.01923934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003627389,"about_ca_system_score_gemma":0.006516992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5776885,"about_ca_topic_score_gemma":0.751195,"domain_scores_codex":[0.9992617,0.00006322467,0.00005547245,0.0001615273,0.0002980383,0.0001599615],"domain_scores_gemma":[0.9979814,0.0001761227,0.0001147979,0.0003262679,0.001202571,0.0001988451],"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":[0.00006083806,0.0000191277,0.003687157,0.0002868314,0.00002733405,0.00003878937,0.0000460006,0.0006428087,0.0001894302,0.0004000749,0.9915156,0.003085963],"study_design_scores_gemma":[0.0001376705,0.00001778046,0.02196995,0.0002782635,0.00002683129,0.00005214438,0.0003506309,0.001417917,0.0006120736,0.0006911313,0.9743991,0.00004639507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006546536,0.00005613887,0.00009227057,0.00005939526,0.00002184867,0.00001368182,0.9978266,0.000315694,0.0009596904],"genre_scores_gemma":[0.0009359924,0.00004077562,0.0002901821,0.00001961512,0.00000346678,0.00002864609,0.9979331,0.0000347903,0.0007134456],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5776885,"threshold_uncertainty_score":0.8495972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006265141460977449,"score_gpt":0.2051488713826374,"score_spread":0.1988837299216599,"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."}}