{"id":"W6909248408","doi":"10.34943/7c19c748-38a2-49b5-8532-7becbc429138","title":"Barkley Canyon Axis Imaging Rotary Sonar Deployed 2018-08-02","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":"Canyon; Sonar; Underwater; Side-scan sonar; Software deployment; Benthic zone; Synthetic aperture sonar","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":[0.0007197696,0.001880659,0.00109314,0.002891274,0.0008770654,0.001545102,0.0025392,0.001253891,0.01816116],"category_scores_gemma":[0.003191608,0.0004463566,0.0006469326,0.005081635,0.0004356561,0.0009340998,0.001253491,0.001225622,0.03847329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002493154,"about_ca_system_score_gemma":0.004121605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.333315,"about_ca_topic_score_gemma":0.5211802,"domain_scores_codex":[0.9992523,0.00007224134,0.00005937403,0.0001693526,0.0002740198,0.000172884],"domain_scores_gemma":[0.9982576,0.0001782061,0.0001131697,0.0003471435,0.0009418213,0.0001620783],"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":[0.00005618144,0.0000181314,0.002217405,0.000250572,0.00002131874,0.00004084851,0.0000317407,0.0006063113,0.0001091577,0.0003184204,0.9933734,0.002956569],"study_design_scores_gemma":[0.0001035709,0.00001687472,0.01156881,0.0002943813,0.00002290709,0.00006347377,0.0002483089,0.001154539,0.0004399035,0.000715289,0.9853313,0.00004061508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004100291,0.00006604379,0.00008181128,0.00005573477,0.00002446132,0.00001015033,0.9980662,0.0002947509,0.0009907676],"genre_scores_gemma":[0.000798608,0.00004193559,0.000262042,0.00001485434,0.000004905631,0.00002679185,0.9979646,0.00003521823,0.000850903],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.666685,"threshold_uncertainty_score":0.6627499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006028656881937823,"score_gpt":0.2018860041880856,"score_spread":0.1958573473061477,"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."}}