{"id":"W6965251997","doi":"10.34943/63109f8a-83de-4911-9451-3177e5c4ed77","title":"Barkley Canyon Mid-East Oxygen Sensor Deployed 2018-08-01","year":2018,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canyon; Benthic zone; Sediment; Oxygen; Software deployment; Oxygen 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":[0.0005433738,0.001381586,0.0008576114,0.001417959,0.000746174,0.0009175136,0.002020305,0.0009656914,0.009391769],"category_scores_gemma":[0.001861436,0.0003231936,0.0003706245,0.002403321,0.0003496677,0.0008567738,0.001013812,0.001156721,0.01745392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00185326,"about_ca_system_score_gemma":0.002832344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2320786,"about_ca_topic_score_gemma":0.4504941,"domain_scores_codex":[0.9994648,0.0000434516,0.00003684094,0.0001424318,0.0001995755,0.0001129846],"domain_scores_gemma":[0.9990276,0.00006560085,0.00005483127,0.0001754505,0.0005573764,0.0001192311],"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":[0.00008716266,0.00003011804,0.002405681,0.0001965879,0.00001615445,0.00004319809,0.00003585297,0.0005541942,0.0002366567,0.000396966,0.992889,0.003108389],"study_design_scores_gemma":[0.0001573378,0.00002792511,0.01927668,0.0002294928,0.00002098645,0.00007234248,0.000262102,0.00265992,0.001059495,0.0009847772,0.9752077,0.00004120131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001466906,0.00008894967,0.000164179,0.0001351644,0.00005013555,0.00002564268,0.9951875,0.0006597627,0.002221766],"genre_scores_gemma":[0.001748535,0.00004587031,0.0003776099,0.00003293464,0.00000588134,0.00003864605,0.9966299,0.00004096332,0.001079707],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2320786,"threshold_uncertainty_score":0.4614554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006828079971454899,"score_gpt":0.1933028276560959,"score_spread":0.186474747684641,"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."}}