{"id":"W6927873559","doi":"10.34943/5e1ba86a-1893-4cb3-a729-d3ade4b62021","title":"Barkley Upper Slope Fluorometer Turbidity Deployed 2018-07-01","year":2018,"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; Turbidite; Chlorophyll a; On board","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001523919,0.002122237,0.001897738,0.000110214,0.001084443,0.0004400342,0.002942142,0.002269389,0.003286061],"category_scores_gemma":[0.0001828681,0.002114767,0.001326406,0.001240353,0.0008405601,0.0004047722,0.001032674,0.003535383,0.0004088329],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004440567,"about_ca_system_score_gemma":0.004820744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6275585,"about_ca_topic_score_gemma":0.8584842,"domain_scores_codex":[0.9898798,0.000590848,0.001405103,0.002373532,0.002614383,0.003136375],"domain_scores_gemma":[0.9926527,0.0004781462,0.001082086,0.003822481,0.0004793431,0.001485217],"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":[0.00005944926,0.00009807818,0.0001820366,0.0001538452,0.001215532,0.0001029084,0.00003082117,0.0003361621,0.000002247759,8.781982e-7,0.9977535,0.00006453773],"study_design_scores_gemma":[0.0009163363,0.00008990132,0.0006234423,0.0002504847,0.0008050147,0.00004886488,0.00005728716,0.001246142,0.000007562846,0.00001146521,0.9936537,0.002289806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005080238,0.001506131,0.00002926264,0.0001783241,0.006514588,0.001037259,0.989785,0.0003770593,0.00006438982],"genre_scores_gemma":[0.0004968366,0.001103493,0.0005939231,0.00557582,0.007277981,0.00003693762,0.9829367,0.0007430021,0.001235324],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2309257,"threshold_uncertainty_score":0.9993812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100877101729454,"score_gpt":0.2178003745304523,"score_spread":0.2067916035131578,"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."}}