{"id":"W6946601578","doi":"10.34943/3e843732-c690-4a45-99ed-153d1344d90f","title":"Strait of Georgia Central Oxygen Sensor Deployed 2010-12-11","year":2010,"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":[0.0003930312,0.001558323,0.0007498348,0.001771033,0.0006901241,0.0007476666,0.001743134,0.001021339,0.00447573],"category_scores_gemma":[0.001281024,0.0003347589,0.0004771993,0.003100805,0.0003317322,0.0006011434,0.0008119089,0.0009553359,0.009945331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002650915,"about_ca_system_score_gemma":0.003289488,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.439102,"about_ca_topic_score_gemma":0.6552077,"domain_scores_codex":[0.9995443,0.00003350059,0.00002969568,0.0001272683,0.0001686917,0.00009643088],"domain_scores_gemma":[0.9991508,0.00004240368,0.00005815085,0.0001592353,0.0004932797,0.00009627743],"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":[0.0001014804,0.00003856862,0.004446906,0.0001938029,0.00003715219,0.00006040456,0.0000329771,0.001416727,0.0005063555,0.0003883033,0.9886035,0.00417391],"study_design_scores_gemma":[0.0001690844,0.00004131348,0.06665836,0.0002258965,0.00004841869,0.0001337493,0.0003076064,0.005510595,0.001964052,0.0008636395,0.9239969,0.00008052235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00270076,0.00007936297,0.0001409426,0.0001258974,0.00005181173,0.00002084188,0.9944149,0.0005374799,0.001927957],"genre_scores_gemma":[0.003467434,0.00004575664,0.0003725819,0.00004263341,0.00000655886,0.00002586358,0.9950272,0.00003564245,0.0009763134],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.560898,"threshold_uncertainty_score":0.8730923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007655204443019158,"score_gpt":0.1990034280686983,"score_spread":0.1913482236256792,"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."}}