{"id":"W6965500239","doi":"10.34943/1fe2335d-a5c2-4029-9859-c49e21876e36","title":"Scotian Shelf (between Shortland and Haldimand Canyons) Hydrophone Deployed 2012-10-12","year":2018,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrophone; Submarine pipeline; Underwater; Data logger; Sound (geography); Waveform","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":[0.0005264758,0.001563815,0.000796848,0.003137026,0.000898735,0.001367649,0.001854814,0.0008129462,0.01856655],"category_scores_gemma":[0.002560053,0.0004032232,0.0005555718,0.005168405,0.0004183416,0.000627171,0.001114883,0.0009752649,0.02129342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003389279,"about_ca_system_score_gemma":0.005464533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5977418,"about_ca_topic_score_gemma":0.7602772,"domain_scores_codex":[0.9994279,0.0000389207,0.00003949359,0.0001183154,0.0002289681,0.000146454],"domain_scores_gemma":[0.9984029,0.0001299833,0.0001274496,0.000237204,0.0009360137,0.0001664945],"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":[0.00005777397,0.00001512772,0.004459048,0.0002883912,0.00002615341,0.0000631537,0.00004489129,0.0005387225,0.0001328594,0.0004312845,0.9909319,0.003010694],"study_design_scores_gemma":[0.0001021288,0.00001272355,0.02875559,0.0003337019,0.00002490714,0.00007405058,0.0002598361,0.0009138451,0.0004354776,0.000537786,0.9685154,0.00003455555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005968621,0.00006675695,0.00006142197,0.00003853565,0.00002202595,0.000007839564,0.9980206,0.0001782635,0.00100777],"genre_scores_gemma":[0.001714708,0.00005798847,0.000195241,0.00001428408,0.000005876719,0.00002406444,0.9967494,0.00003469095,0.001203688],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4022582,"threshold_uncertainty_score":0.8092544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008096060998972704,"score_gpt":0.2074140310487576,"score_spread":0.1993179700497849,"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."}}