{"id":"W2908989331","doi":"10.1038/s41597-018-0005-2","title":"Author Correction: A compendium of geochemical information from the Saanich Inlet water column","year":2019,"lang":"en","type":"erratum","venue":"Scientific Data","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":186,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia; Fisheries and Oceans Canada; Concordia University; Canadian Institute for Advanced Research; University of British Columbia","funders":"","keywords":"Compendium; Table (database); Inlet; Column (typography); Water column; Geology; Chemistry; Oceanography; Mathematics; Computer science; Database; History; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002612042,0.001654923,0.001220154,0.004294404,0.002691168,0.003134592,0.002431607,0.001965468,0.1010518],"category_scores_gemma":[0.03770755,0.0009635217,0.001194716,0.004406062,0.001306853,0.002201105,0.002362361,0.006107639,0.07324398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002839123,"about_ca_system_score_gemma":0.007143672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03337427,"about_ca_topic_score_gemma":0.04442416,"domain_scores_codex":[0.9962503,0.0003394324,0.0005485431,0.0005012275,0.002168682,0.0001917138],"domain_scores_gemma":[0.9725713,0.004275786,0.0009970521,0.00207105,0.01950349,0.0005813325],"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":[0.00001429067,0.000002625892,0.00005065275,0.0000710622,0.000004433694,0.0000413346,0.00001867112,0.00003680466,0.00005541878,0.0004203154,0.9940975,0.00518686],"study_design_scores_gemma":[0.00001169313,0.000005984376,0.0003846707,0.0001529931,0.00001396057,0.0000904598,0.0000431878,0.0001046987,0.0003173501,0.0006162143,0.998244,0.00001469079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0005255333,0.001025728,0.003815597,0.02530633,0.92967,0.00006054059,0.02238054,0.001724556,0.01549121],"genre_scores_gemma":[0.02008587,0.007012729,0.02381892,0.04348011,0.1163934,0.0004034213,0.06597521,0.01239408,0.7104362],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9666258,"threshold_uncertainty_score":0.338052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04358805088912733,"score_gpt":0.2293282728724539,"score_spread":0.1857402219833266,"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."}}