{"id":"W2772789383","doi":"10.1002/lom3.10229","title":"Assessment and improvement of the sea ice processing for dissolved inorganic carbon analysis","year":2017,"lang":"en","type":"article","venue":"Limnology and Oceanography Methods","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada; Canada Foundation for Innovation; ArcticNet; University of Manitoba; Shandong University; Chesapeake Research Consortium","keywords":"Oceanography; Dissolved organic carbon; Environmental chemistry; Chemistry; Environmental science; Carbon fibers; Geology; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008344424,0.0005255202,0.0003011838,0.0003143711,0.0002411052,0.0007200433,0.000308762,0.0003664919,0.0008084236],"category_scores_gemma":[0.00102177,0.0001423186,0.0002435092,0.000300596,0.0002231805,0.0004255179,0.0003200547,0.0002370587,0.000270788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003155984,"about_ca_system_score_gemma":0.0005903004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003518448,"about_ca_topic_score_gemma":0.005502509,"domain_scores_codex":[0.9996282,0.0000775689,0.00002862748,0.00009098279,0.000141819,0.00003279935],"domain_scores_gemma":[0.9995649,0.00006877165,0.00007537084,0.00003348001,0.0002297555,0.0000275978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002366486,0.00006648793,0.009030922,0.000150018,0.00002422868,0.00006797207,0.00005347915,0.001468508,0.9705126,0.0000642601,0.00008850625,0.0182365],"study_design_scores_gemma":[0.00001413712,0.0007554597,0.05151736,0.00003126435,0.0001002299,0.00009752669,0.0001434494,0.008250354,0.9335468,0.0000505254,0.005475301,0.00001761697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9755707,0.001329276,0.02010309,0.0000835688,0.00007608467,0.0001376544,0.0004326559,0.00007806745,0.002188863],"genre_scores_gemma":[0.94207,0.001442073,0.05318177,0.00009535101,0.00001980581,0.0001080888,0.0007583888,0.00006927956,0.002255238],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003518448,"threshold_uncertainty_score":0.006995976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756683003342844,"score_gpt":0.3188165237186093,"score_spread":0.3012496936851808,"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."}}