{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003423914,0.0007052211,0.000503979,0.00002490301,0.0005406335,0.0001295059,0.001202954,0.0005220368,0.006237037],"category_scores_gemma":[0.00002056882,0.0006900976,0.0003196182,0.0004885949,0.0004680314,0.0001461052,0.0007299431,0.0007240941,0.0002320443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446567,"about_ca_system_score_gemma":0.0002641776,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8140321,"about_ca_topic_score_gemma":0.9111128,"domain_scores_codex":[0.9962944,0.0001061958,0.0004722271,0.0008952924,0.0009550683,0.001276778],"domain_scores_gemma":[0.9978921,0.00006236938,0.0003277624,0.001163534,0.00001562131,0.0005386149],"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":[0.00001242371,0.00002543266,0.0005205753,0.00004952159,0.0001464842,0.00003318801,0.00003666065,0.002621327,5.322651e-7,0.000001014363,0.9964256,0.0001272302],"study_design_scores_gemma":[0.0003138751,0.00003866225,0.0007947671,0.00004131564,0.0001574246,0.000006362147,0.00003303886,0.002887637,6.927376e-7,0.000005685109,0.9949617,0.0007587829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009561859,0.0001964053,0.00001278527,0.0006947474,0.002379803,0.0006432677,0.9937791,0.00009547841,0.001242252],"genre_scores_gemma":[0.0009659407,0.0006583862,0.0002076427,0.007378607,0.002706836,0.00001418552,0.9766986,0.0001146657,0.01125512],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09708074,"threshold_uncertainty_score":0.999555,"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."}}