{"id":"W6908927455","doi":"10.34943/3480b9d5-cbde-4c58-bba9-9d8c1f8ac0ba","title":"Folger Pinnacle Fluorometer Turbidity Deployed 2022-04-07","year":2022,"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; 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":[0.000794621,0.001863358,0.0009829014,0.002660324,0.001006453,0.001507681,0.002669438,0.001417303,0.01678772],"category_scores_gemma":[0.002973767,0.0004418913,0.0007585666,0.004965406,0.0004439508,0.001004669,0.001392271,0.001237876,0.03211997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003120351,"about_ca_system_score_gemma":0.003969397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3425047,"about_ca_topic_score_gemma":0.5121786,"domain_scores_codex":[0.9990733,0.00008717794,0.00006318327,0.0002451772,0.0003268298,0.0002043457],"domain_scores_gemma":[0.9985347,0.0001394509,0.00009431763,0.000316494,0.0007396315,0.0001753914],"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":[0.00007561768,0.00002259085,0.00200911,0.0002160144,0.00002347921,0.00003731744,0.0000286123,0.0007157983,0.000180806,0.0003277661,0.9935096,0.002853266],"study_design_scores_gemma":[0.0001962681,0.00003069912,0.01725222,0.0001955348,0.00002581474,0.00007921566,0.0001997452,0.002454468,0.0007005481,0.0009230049,0.9778762,0.00006633371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005678984,0.0000532566,0.00009415732,0.00007100112,0.00002316983,0.0000147754,0.9976059,0.000687163,0.0008825865],"genre_scores_gemma":[0.000735121,0.00002417678,0.000258116,0.00002501241,0.000004104943,0.00003149082,0.9983341,0.00004761143,0.0005403176],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3425047,"threshold_uncertainty_score":0.6810223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00961229989301579,"score_gpt":0.2126903957519345,"score_spread":0.2030780958589187,"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."}}