{"id":"W6890258902","doi":"10.34943/8956a510-d48f-42eb-8f11-e3197c725023","title":"Folger Pinnacle Fluorometer Turbidity Deployed 2015-07-20","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":"Fluorometer; Turbidity; Pinnacle; Detector; Photometer; Chlorophyll a; Filter (signal processing)","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":[0.0007805954,0.001825455,0.001020155,0.003078673,0.0009761141,0.001476228,0.002554453,0.00130968,0.01411239],"category_scores_gemma":[0.003462356,0.0004308673,0.0007989983,0.005344265,0.0004477367,0.001026597,0.001478247,0.001188927,0.02387336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003318265,"about_ca_system_score_gemma":0.004337019,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3793587,"about_ca_topic_score_gemma":0.5812134,"domain_scores_codex":[0.9990821,0.00008476721,0.00006863925,0.0002345964,0.0003360992,0.0001937946],"domain_scores_gemma":[0.9984332,0.0001605556,0.0001064088,0.0003434643,0.0007764892,0.000179916],"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":[0.00007775615,0.0000218644,0.002943564,0.0002913578,0.00003410903,0.00004042647,0.00003563659,0.0007807605,0.0001607245,0.0003834308,0.9917632,0.003467172],"study_design_scores_gemma":[0.0001627956,0.00002776039,0.02137193,0.0002677307,0.00003544792,0.00009329747,0.0002163938,0.002513169,0.0006816972,0.001057246,0.9734973,0.00007512193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000669749,0.00008539584,0.0001182898,0.00007735079,0.00002471222,0.00001488917,0.9972796,0.0008161874,0.0009136905],"genre_scores_gemma":[0.001033131,0.00003867264,0.0003092928,0.00002765869,0.000004891369,0.00003156047,0.997918,0.00005444358,0.0005823918],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6206414,"threshold_uncertainty_score":0.7543011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510595166840548,"score_gpt":0.2392120913605131,"score_spread":0.2241061396921076,"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."}}