{"id":"W6947016424","doi":"10.34943/059d42c9-2a6b-4f68-867f-78f390f4503e","title":"Fraser River Delta Upper Slope Imaging Rotary Sonar Deployed 2015-09-14","year":2015,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sonar; Underwater; Delta; Digital elevation model; Range (aeronautics); Seabed; Image quality","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":[0.0007197902,0.001453179,0.0008100982,0.003370424,0.000856302,0.001371773,0.00202997,0.0009970741,0.01458679],"category_scores_gemma":[0.00335869,0.0003797229,0.0005348381,0.005654525,0.0003682252,0.0007725779,0.001131445,0.001010593,0.02431276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003082333,"about_ca_system_score_gemma":0.004724287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4909018,"about_ca_topic_score_gemma":0.6557782,"domain_scores_codex":[0.9992112,0.00006604067,0.00005867161,0.0001491032,0.0003503998,0.0001644439],"domain_scores_gemma":[0.9982993,0.00014737,0.0001260837,0.0002618759,0.001031828,0.0001336703],"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":[0.00004846803,0.00001822585,0.003682039,0.0002486411,0.0000259213,0.00005787845,0.00004641328,0.0007767216,0.0001254434,0.0005414903,0.9896423,0.004786571],"study_design_scores_gemma":[0.00006083424,0.00001155791,0.01524937,0.0003100273,0.00001865536,0.00007358515,0.0002500625,0.001173473,0.0004404683,0.0006167364,0.9817556,0.00003961146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006264456,0.00008655772,0.000124566,0.00006773297,0.00002390593,0.00001294185,0.9970728,0.0002981237,0.001686939],"genre_scores_gemma":[0.001343751,0.00005709006,0.0003583844,0.00002027599,0.000004547544,0.00002688862,0.9969807,0.00003587631,0.001172489],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4909018,"threshold_uncertainty_score":0.9760888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008133015158491044,"score_gpt":0.2217763999953186,"score_spread":0.2136433848368276,"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."}}