{"id":"W6927532983","doi":"10.34943/f2355e35-28fb-4b37-9f08-9cc61849d68f","title":"Barkley Canyon Mid-East Fluorometer Turbidity Deployed 2012-06-02","year":2012,"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; Canyon; Benthic zone; Satellite; 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":[0.0007777968,0.001540866,0.001026352,0.002891197,0.001135613,0.001378769,0.00223962,0.001028156,0.01203926],"category_scores_gemma":[0.003118856,0.0004955598,0.0005657465,0.005861806,0.0003956184,0.0008247969,0.001186304,0.001216413,0.01777386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004206552,"about_ca_system_score_gemma":0.006080273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6324401,"about_ca_topic_score_gemma":0.7786182,"domain_scores_codex":[0.9990674,0.00007755739,0.00006399862,0.0002215562,0.0003584768,0.0002110928],"domain_scores_gemma":[0.997824,0.0001395926,0.0001316819,0.0003785438,0.001287331,0.0002390324],"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":[0.00009402922,0.00002394332,0.003892397,0.0002068995,0.00002537621,0.00003531995,0.00004985993,0.0006345215,0.0001687991,0.0003390116,0.9912882,0.003241625],"study_design_scores_gemma":[0.0001887514,0.00002341237,0.03323598,0.0002181358,0.0000263987,0.00005498295,0.0003320464,0.002037849,0.0008244419,0.0005174638,0.9624765,0.00006400306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001049477,0.00005226619,0.00009902719,0.00006578239,0.00001885875,0.00002249429,0.9969136,0.0005021798,0.001276348],"genre_scores_gemma":[0.001328828,0.00003061472,0.0003847907,0.0000198944,0.000003879055,0.00004728908,0.9971746,0.00005401844,0.0009560494],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6324401,"threshold_uncertainty_score":0.739449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364371267360013,"score_gpt":0.212108733268151,"score_spread":0.1984650205945508,"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."}}