{"id":"W2948706575","doi":"10.17632/2w8hmhtvg3.1","title":"Data for: Distribution of thiols, refractory organic matter and colored dissolved organic matter during the 2015 Canadian Arctic GEOTRACES cruises","year":2018,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geotraces; Colored dissolved organic matter; Dissolved organic carbon; Organic matter; Arctic; Refractory (planetary science); Environmental science; Distribution (mathematics); Colored; Chemistry; Environmental chemistry; Oceanography; Geology; Materials science; Metallurgy; Seawater; Organic chemistry; Mathematics; Nutrient; Phytoplankton","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":[],"consensus_categories":[],"category_scores_codex":[0.0005886753,0.0001754739,0.0001940469,0.00005074366,0.0006710063,0.0001686412,0.001079741,0.00005572876,0.0004375179],"category_scores_gemma":[0.00003750176,0.0001124176,0.0000148999,0.0001531502,0.0002788503,0.0004523264,0.0002052558,0.000128555,0.00004404176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007125683,"about_ca_system_score_gemma":0.00006666328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02074908,"about_ca_topic_score_gemma":0.3406524,"domain_scores_codex":[0.9985713,0.0001904027,0.000252411,0.0004846345,0.0001342745,0.0003669148],"domain_scores_gemma":[0.9980329,0.000532666,0.0001515708,0.00106372,0.00004263482,0.0001765231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000282735,0.00002078087,0.9888622,0.0004915864,0.0001023185,0.000003018427,0.001121874,0.00003115548,0.001886092,0.000004032245,0.005189863,0.002004354],"study_design_scores_gemma":[0.0001857056,0.00005897251,0.9639564,0.0001261681,0.00006783232,0.0000208655,0.0004554184,0.02460626,0.00004744753,0.00005215882,0.01026225,0.0001604821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888827,0.0009655376,0.0001272963,0.0008514234,0.0001664337,0.0002841195,0.008623691,0.00001871213,0.00008008948],"genre_scores_gemma":[0.9884239,0.0003637501,0.00008873254,0.0002764873,0.0002575499,0.000001296582,0.01046085,0.00001026349,0.0001171701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3199033,"threshold_uncertainty_score":0.9857718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470789716911708,"score_gpt":0.2322620699747254,"score_spread":0.2175541728056083,"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."}}