{"id":"W6946546962","doi":"10.34943/3614e2e6-72fa-4341-9f33-9f9d60e22eab","title":"Fraser River Delta Lower Slope Imaging Rotary Sonar Deployed 2013-10-23","year":2013,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sonar; Delta; Underwater; Digital elevation model; Seabed; Synthetic aperture sonar; River delta","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":[0.0007556716,0.001420236,0.000893647,0.003085588,0.0007955536,0.001201286,0.002260768,0.0009373436,0.01387905],"category_scores_gemma":[0.002543755,0.0004024958,0.0006076281,0.005265059,0.0003381343,0.0006633009,0.0009709547,0.001086548,0.02611198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002460681,"about_ca_system_score_gemma":0.003391164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3048996,"about_ca_topic_score_gemma":0.4705523,"domain_scores_codex":[0.9993129,0.00006369804,0.00005513605,0.0001498953,0.0002781977,0.0001402384],"domain_scores_gemma":[0.9986041,0.0001240873,0.0001200903,0.0002452582,0.0007697616,0.0001367056],"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":[0.00006799766,0.00002596995,0.003328729,0.000240505,0.00003085173,0.00005166831,0.00003955242,0.0006873499,0.0001662688,0.000374882,0.9911234,0.003862815],"study_design_scores_gemma":[0.0001376567,0.00001767198,0.02240375,0.0002467816,0.00002493444,0.00007998953,0.0002284569,0.001325622,0.0006668122,0.0005685411,0.9742561,0.00004374654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005990825,0.00004301911,0.00007762465,0.0000388035,0.00001319326,0.00001168629,0.9980159,0.0002523368,0.0009483866],"genre_scores_gemma":[0.00090956,0.00003186753,0.0002653017,0.00001405132,0.000003183159,0.00002933564,0.9980375,0.00002955828,0.0006796488],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6951004,"threshold_uncertainty_score":0.6062498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008177762918328961,"score_gpt":0.1915469872201825,"score_spread":0.1833692243018535,"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."}}