{"id":"W4285294621","doi":"10.4095/329978","title":"Scotian Shelf geoscience information within Network Candidate Sites of Fisheries and Oceans Canada","year":2022,"lang":"en","type":"report","venue":"","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Fishery; Oceanography; Geography; Environmental science; Fisheries science; Fisheries management; Geology; Fishing; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004450179,0.0003329412,0.0002658283,0.003604365,0.001635171,0.001212411,0.0005263218,0.0002763776,0.02290775],"category_scores_gemma":[0.00335244,0.0002357242,0.0002055783,0.006437483,0.0002555772,0.000435296,0.0006689159,0.0001975392,0.003698951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007811002,"about_ca_system_score_gemma":0.02424012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9824144,"about_ca_topic_score_gemma":0.990708,"domain_scores_codex":[0.9993553,0.00005574967,0.00002522015,0.00008061141,0.000305208,0.0001779222],"domain_scores_gemma":[0.9955959,0.0003772257,0.0002453975,0.0001694439,0.003136685,0.0004753754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001044401,0.0001387206,0.6200815,0.0003762087,0.00008516766,0.0004839723,0.0009698863,0.01280266,0.003155086,0.005373584,0.2570786,0.09841003],"study_design_scores_gemma":[0.00009271096,0.00006677084,0.813844,0.0001514336,0.0000528789,0.0001435786,0.003322138,0.01999869,0.005876052,0.0007918325,0.1556128,0.00004714795],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.4049524,0.0006236637,0.002423233,0.0007055373,0.0001006055,0.0005214686,0.462648,0.0003879191,0.1276372],"genre_scores_gemma":[0.6789428,0.000714421,0.007672993,0.0001431833,0.00002919372,0.0002036887,0.1822052,0.0001448545,0.1299437],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02290775,"threshold_uncertainty_score":0.07663411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297712128479736,"score_gpt":0.2436067963373392,"score_spread":0.2306296750525418,"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."}}