{"id":"W4312303797","doi":"10.46427/gold2022.8848","title":"Chemical and isotopic constraints on carbon and sulfur dynamics in Lake Erie nearshore waters","year":2022,"lang":"en","type":"article","venue":"Goldschmidt2022 abstracts","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Environmental science; Sulfur; Oceanography; Carbon fibers; Geology; Chemistry; Computer science","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":[0.0001496797,0.0002519654,0.0004046826,0.0009285516,0.0006054888,0.0005975799,0.0002654479,0.0003751561,0.0004959079],"category_scores_gemma":[0.0002329436,0.00032191,0.0001772133,0.0009667515,0.0004092956,0.0003584131,0.0008695281,0.0001677015,0.0001339484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000791021,"about_ca_system_score_gemma":0.0008114139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05412265,"about_ca_topic_score_gemma":0.1507384,"domain_scores_codex":[0.9998347,0.00001327972,0.00001785067,0.00004136954,0.00004665377,0.00004623564],"domain_scores_gemma":[0.9999038,0.00001117689,0.00002996391,0.000003593803,0.00003771325,0.00001380836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006091931,0.00006202858,0.7553066,0.0001405337,0.0001511837,0.0007467793,0.001686638,0.001089612,0.230434,0.0002096316,0.0001515923,0.009412158],"study_design_scores_gemma":[0.00001048443,0.00006568276,0.9911922,0.0000115584,0.0000400532,0.00008914676,0.001200816,0.0008079996,0.005449474,0.00005014999,0.001067074,0.00001536661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999255,0.00007157982,0.00002556123,0.0000103873,4.182658e-7,0.000001951971,0.00007412508,0.000002596206,0.0005583216],"genre_scores_gemma":[0.9985772,0.0001720036,0.0003060872,0.00003494057,0.000001404393,0.000007895458,0.0003365362,0.000004413469,0.0005594521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9458774,"threshold_uncertainty_score":0.1076152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005501258263224834,"score_gpt":0.2007213047628076,"score_spread":0.1952200464995828,"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."}}