{"id":"W6950267099","doi":"10.5285/6aae1d3a-8c1e-41a3-9056-55e66b602346","title":"Water column acoustic data collected from 2009-12-12 to 2009-12-19 during cruise JR230 in the Scotia Sea","year":2017,"lang":"en","type":"dataset","venue":"NERC Environmental Data Service","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NetCDF; Cruise; Water column; Nova scotia; Echo sounding; Volume (thermodynamics); Data processing","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":[0.0003532636,0.0008347951,0.0004671606,0.00136108,0.0003546975,0.0005393146,0.000694786,0.0004209113,0.006203982],"category_scores_gemma":[0.0008439104,0.0002184636,0.0003621184,0.00192961,0.0002067506,0.0002594421,0.0007162143,0.0004562735,0.006973586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130441,"about_ca_system_score_gemma":0.002291823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2930223,"about_ca_topic_score_gemma":0.4499449,"domain_scores_codex":[0.9997264,0.00001709316,0.00002243444,0.00006943721,0.0001080355,0.0000565484],"domain_scores_gemma":[0.9993012,0.00004517254,0.00007197523,0.0001024256,0.0003847429,0.0000944792],"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":[0.0003266145,0.00008780874,0.05549682,0.0006683798,0.0001541003,0.0002912385,0.0002760503,0.002849507,0.002631889,0.0005329886,0.9223348,0.01434979],"study_design_scores_gemma":[0.0001826939,0.0000499072,0.4353857,0.0003622873,0.00006970159,0.0001553021,0.0006500774,0.00183034,0.002011916,0.0003351962,0.5588949,0.00007199122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008770455,0.00005683102,0.0001192936,0.00003245334,0.0000310065,0.00001693568,0.9897453,0.0001382403,0.001089457],"genre_scores_gemma":[0.007362534,0.00004795344,0.0002651158,0.00001294147,0.000007374849,0.0000382203,0.9908234,0.00002794588,0.001414498],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2930223,"threshold_uncertainty_score":0.5826335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972597646245059,"score_gpt":0.2255073647667252,"score_spread":0.1957813883042746,"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."}}