{"id":"W6909191883","doi":"10.34943/88de204e-4078-462c-bcad-75169112abec","title":"Tsawwassen - Swartz Bay Ferry Route Coloured Dissolved Organic Matter Deployed 2003-09-12","year":2011,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Colored dissolved organic matter; Dissolved organic carbon; Bay; Estuary; Organic matter; Fluorometer","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":[0.0007180927,0.001478595,0.0008774344,0.003466995,0.0009909407,0.001760671,0.002039121,0.0009749435,0.01442115],"category_scores_gemma":[0.00386588,0.0004413814,0.0006028966,0.007455067,0.000399901,0.000805302,0.001027342,0.001214049,0.01942614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005968329,"about_ca_system_score_gemma":0.008477965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7303381,"about_ca_topic_score_gemma":0.8237766,"domain_scores_codex":[0.9991896,0.00006099179,0.00005449455,0.0001696158,0.0003370049,0.0001882835],"domain_scores_gemma":[0.9975609,0.000169574,0.0001747552,0.0003514925,0.001492114,0.0002511438],"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":[0.00006691035,0.0000181425,0.003602257,0.0001897366,0.00002674599,0.00004150511,0.00003789943,0.0006249749,0.0001209079,0.0004772826,0.9919587,0.002834917],"study_design_scores_gemma":[0.0001109529,0.00001290975,0.02269275,0.0001872252,0.00002337477,0.00004774181,0.0002625757,0.001312107,0.0006002763,0.0005841295,0.9741255,0.00004039337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005733584,0.00003884689,0.00006446685,0.00005593861,0.0000152173,0.00001074105,0.9979025,0.0001727793,0.001166053],"genre_scores_gemma":[0.00112351,0.00003610474,0.0001974857,0.00001495461,0.000003732449,0.00002416643,0.9973806,0.00003163319,0.001187788],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2696619,"threshold_uncertainty_score":0.5425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009562085232319967,"score_gpt":0.1984417458663462,"score_spread":0.1888796606340262,"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."}}