{"id":"W6890413125","doi":"10.34943/4aa9e47f-a017-43b4-b45c-6b44e50c3861","title":"Cascadia Seaweed Cormorant Reference Site Conductivity Temperature Depth Deployed 2022-03-07","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":"Cormorant; Turbidity; Conductivity; Temperature measurement; Air temperature; Digital data; Calibration; Pressure sensor","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":[0.0006165953,0.001557059,0.0007510397,0.00252013,0.0009883294,0.001362315,0.002026509,0.001153299,0.01990374],"category_scores_gemma":[0.002874899,0.0004145615,0.0005386128,0.005392641,0.0003756937,0.0008014815,0.001113735,0.001183979,0.02756603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003127842,"about_ca_system_score_gemma":0.004556702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4726712,"about_ca_topic_score_gemma":0.6128588,"domain_scores_codex":[0.9992956,0.00006237147,0.00004409104,0.0001859303,0.0002649892,0.0001470649],"domain_scores_gemma":[0.9981445,0.0001565603,0.0001029098,0.0003673227,0.001034779,0.0001940236],"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":[0.00004136807,0.00001307754,0.002077476,0.0001717641,0.00001820397,0.00003667064,0.00003027916,0.0006953395,0.0001672436,0.0003573162,0.9943051,0.002086203],"study_design_scores_gemma":[0.0001065696,0.00001315687,0.01832311,0.0002009345,0.00001919726,0.00004857833,0.0002631605,0.001698771,0.0005346045,0.0008296684,0.9779181,0.00004412389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003993319,0.00003156191,0.00009070445,0.00006422794,0.00002439539,0.000008085849,0.9977806,0.0003695687,0.001231474],"genre_scores_gemma":[0.0009625859,0.0000241471,0.0002393177,0.00002055822,0.000003690325,0.00002477375,0.997834,0.00005370434,0.0008371393],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5273287,"threshold_uncertainty_score":0.93984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418201065156225,"score_gpt":0.2260150988760638,"score_spread":0.2118330882245016,"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."}}