{"id":"W6965589211","doi":"10.34943/9a15180c-c8f7-4280-b2fb-bb14564367bb","title":"Strait of Georgia Central Fluorometer Turbidity Deployed 2023-03-17","year":2023,"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; Detector; Chlorophyll a; Filter (signal processing); Interference (communication)","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":[0.0006054718,0.00151902,0.0007789299,0.002133058,0.0008965984,0.001241265,0.001990165,0.001146216,0.01187449],"category_scores_gemma":[0.002380303,0.0003867018,0.0006734459,0.004173344,0.0003980421,0.00077947,0.001188855,0.001059993,0.02851309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002581905,"about_ca_system_score_gemma":0.003896995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3637476,"about_ca_topic_score_gemma":0.4957007,"domain_scores_codex":[0.999335,0.00007143505,0.00004725153,0.0001887711,0.0002116992,0.0001458024],"domain_scores_gemma":[0.9989297,0.00008598575,0.00007260529,0.000235436,0.0005624187,0.0001137985],"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":[0.00006104562,0.00001562058,0.002273135,0.0001549975,0.00002160612,0.00003872776,0.00003162972,0.0006691557,0.0001772499,0.0005002548,0.9931105,0.002946093],"study_design_scores_gemma":[0.0001265277,0.00001878387,0.01575192,0.0001893568,0.00002056694,0.00007111655,0.000205898,0.002263875,0.0006128329,0.00100014,0.9796907,0.00004835097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007721036,0.00006179757,0.0001215524,0.00008829052,0.00003093377,0.0000147972,0.996877,0.0007311347,0.001302454],"genre_scores_gemma":[0.001329587,0.00003513279,0.0003872694,0.00003647137,0.000005169742,0.00003155497,0.997409,0.00007613198,0.0006896697],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6362524,"threshold_uncertainty_score":0.7232606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191071174278148,"score_gpt":0.2195701279596381,"score_spread":0.2076594162168566,"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."}}