{"id":"W6965338669","doi":"10.34943/8ce4522e-1a88-4f7e-9e0d-2d5489def697","title":"Folger Pinnacle Fluorometer Turbidity Deployed 2024-04-10","year":2024,"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":"Fluorometer; Turbidity; Pinnacle; Detector; Photometer; Filter (signal processing); Chlorophyll a","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":[0.000941835,0.001851904,0.0009238766,0.002369499,0.0007894901,0.001253706,0.002637665,0.00146826,0.01505164],"category_scores_gemma":[0.002759291,0.0004204854,0.0007864209,0.003405256,0.0004118387,0.001047292,0.001344828,0.001204665,0.03052119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00178569,"about_ca_system_score_gemma":0.002115064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08707357,"about_ca_topic_score_gemma":0.1604127,"domain_scores_codex":[0.9991419,0.0001141831,0.00007191655,0.0002697276,0.0002448872,0.0001573265],"domain_scores_gemma":[0.9989117,0.0001381721,0.00009081828,0.0002908017,0.0004348768,0.0001335473],"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":[0.0001327578,0.00004529758,0.003074335,0.0003828275,0.00004360478,0.00005720611,0.00003971965,0.001038318,0.0003932661,0.0004782013,0.9900879,0.004226484],"study_design_scores_gemma":[0.0003081025,0.00005567734,0.01792991,0.0002016828,0.00003730265,0.0001091317,0.0001786405,0.003146693,0.001080441,0.001246438,0.9756373,0.00006867424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001004509,0.00006805207,0.0001467717,0.0000712207,0.00002550894,0.00002173561,0.9966986,0.00108572,0.0008778896],"genre_scores_gemma":[0.0009484973,0.00002225756,0.000371751,0.00002773066,0.000004452908,0.000045412,0.9980943,0.00005684642,0.0004287694],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08707357,"threshold_uncertainty_score":0.1731335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102156800393967,"score_gpt":0.1818780650486482,"score_spread":0.1716623850092515,"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."}}