{"id":"W6965353081","doi":"10.34943/0b2a4323-1b61-43ce-a0b5-60a59a993cf3","title":"Tsawwassen - Swartz Bay Ferry Route Turbidity, Chlorophyll and Fluorescence Deployed 2020-06-17","year":2020,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Turbidity; Chlorophyll a; Chlorophyll; Irradiance","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":[0.0008141696,0.001471216,0.0008022739,0.002189121,0.000817858,0.001644359,0.002082658,0.00122046,0.02100471],"category_scores_gemma":[0.003224286,0.0003870134,0.0005810388,0.003736918,0.0003871828,0.001124434,0.001395639,0.001156701,0.03550633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002681799,"about_ca_system_score_gemma":0.003124232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.227357,"about_ca_topic_score_gemma":0.3675624,"domain_scores_codex":[0.9993445,0.00007556508,0.00004582768,0.0001698833,0.0002263894,0.0001378548],"domain_scores_gemma":[0.9986395,0.0001535043,0.00009957037,0.000277476,0.0006314822,0.000198535],"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":[0.00005303176,0.00001737695,0.001660801,0.0001865504,0.00001608861,0.00002661267,0.00002921986,0.0004641268,0.0001409395,0.0005421405,0.9944976,0.002365572],"study_design_scores_gemma":[0.0001141009,0.0000161013,0.01111009,0.0002016321,0.0000142062,0.00004635425,0.0001960414,0.001454353,0.0004885178,0.001263404,0.9850609,0.00003427081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003159348,0.00003357931,0.0000852986,0.0000627672,0.00001921923,0.00000849635,0.9980935,0.0003220244,0.001059022],"genre_scores_gemma":[0.0005933132,0.00002339967,0.0002505788,0.00001958506,0.000003533391,0.00002326433,0.9983864,0.00003949196,0.000660543],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.772643,"threshold_uncertainty_score":0.4520672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009398594779774224,"score_gpt":0.1743992620867232,"score_spread":0.1650006673069489,"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."}}