{"id":"W6965602497","doi":"10.34943/12505e3a-cec8-4eb3-98c7-997de92d5211","title":"Strait of Georgia Central Oxygen Sensor Deployed 2013-10-24","year":2013,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Data quality; Software deployment; Optode; Oxygen sensor; Oxygen","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":[0.0004093019,0.001371346,0.0007784086,0.001742713,0.0007668545,0.000778892,0.001796554,0.0009596312,0.005491787],"category_scores_gemma":[0.001374339,0.0002993822,0.0005461765,0.003094073,0.0003605684,0.0005925888,0.0009181402,0.0009510394,0.01120829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00255948,"about_ca_system_score_gemma":0.003466445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4263268,"about_ca_topic_score_gemma":0.650234,"domain_scores_codex":[0.9995458,0.00003472351,0.00002776548,0.000115816,0.0001779938,0.00009784959],"domain_scores_gemma":[0.9992208,0.0000399815,0.00004553155,0.0001421642,0.0004686177,0.0000829311],"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":[0.000075216,0.00002660292,0.003031815,0.000154838,0.00002974355,0.00004839582,0.00002791881,0.001030364,0.0003247112,0.0003986964,0.9911958,0.003655963],"study_design_scores_gemma":[0.0001505319,0.00003160638,0.04438569,0.0002308498,0.00004114571,0.0001184592,0.0003109384,0.005099657,0.001549361,0.001146439,0.9468638,0.00007160113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002192801,0.00009127132,0.0002015441,0.0001493128,0.00005566448,0.00002563362,0.9944423,0.0007606397,0.002080894],"genre_scores_gemma":[0.003387749,0.00005753714,0.0004631036,0.00004972951,0.0000070756,0.00003258987,0.9949144,0.00005026741,0.001037456],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5736731,"threshold_uncertainty_score":0.8476907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009114135149032872,"score_gpt":0.1986456056175026,"score_spread":0.1895314704684697,"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."}}