{"id":"W6965292128","doi":"10.34943/fcce9ecb-e0e2-47f9-ae0b-426302b06d67","title":"Barkley Canyon Hydrophone Deployed 2021-02-10","year":2021,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canyon; Hydrophone; Underwater; Submarine canyon; Sound (geography); Continental shelf; Data logger","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":[0.0008809969,0.001919059,0.001031399,0.00213192,0.0009195839,0.00135763,0.002529579,0.001331118,0.02615109],"category_scores_gemma":[0.002864403,0.0004784938,0.0005314038,0.003635704,0.0004037016,0.001077232,0.001393293,0.00134219,0.0522727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001843764,"about_ca_system_score_gemma":0.003121934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1709667,"about_ca_topic_score_gemma":0.3024156,"domain_scores_codex":[0.9991277,0.0001037008,0.00006682197,0.0002348258,0.0003035202,0.000163495],"domain_scores_gemma":[0.9983235,0.0001808178,0.0001020611,0.0003561015,0.0008559454,0.000181562],"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":[0.00005159614,0.0000180622,0.001172282,0.0001746859,0.00001232364,0.00002300737,0.00002071334,0.0003577349,0.0001303505,0.0002958836,0.9956523,0.002091015],"study_design_scores_gemma":[0.0001907347,0.00002354293,0.01001032,0.0002154217,0.00001494809,0.00004596458,0.0001944614,0.001325186,0.0005742998,0.000892257,0.9864728,0.00003995719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000346008,0.00002872164,0.000083778,0.00004130942,0.00001995936,0.00001566234,0.997995,0.0003647523,0.001104904],"genre_scores_gemma":[0.0005871407,0.00001902727,0.000292081,0.00002039526,0.000003724987,0.00004270855,0.998284,0.00005367315,0.0006972362],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8290333,"threshold_uncertainty_score":0.3399431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003661106307500616,"score_gpt":0.1605850682382268,"score_spread":0.1569239619307262,"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."}}