{"id":"W6964090978","doi":"10.21966/1.321324","title":"Aquatic carbon flux data package for Oliver et al. 2017","year":2014,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Dissolved organic carbon; Hydrology (agriculture); Watershed; Organic matter; Discharge; Flux (metallurgy); STREAMS","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":[0.00150982,0.001710501,0.001891893,0.002360451,0.0006749121,0.002230775,0.002137243,0.0008887423,0.08583199],"category_scores_gemma":[0.002826881,0.0007910305,0.001538602,0.003531053,0.0002604532,0.001786771,0.001678473,0.001790693,0.06074246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006695346,"about_ca_system_score_gemma":0.0013182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01245043,"about_ca_topic_score_gemma":0.01643236,"domain_scores_codex":[0.9993975,0.00008780768,0.0000598039,0.0002012627,0.0001661755,0.00008735572],"domain_scores_gemma":[0.9993906,0.0001675595,0.00006525442,0.0001300471,0.0001875525,0.00005892396],"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":[0.0002663995,0.00006976663,0.00496292,0.00138307,0.0002951795,0.00009167259,0.0001546132,0.003108762,0.001512268,0.004939478,0.9637609,0.01945488],"study_design_scores_gemma":[0.0003338437,0.00004188029,0.01170574,0.0002287916,0.0001364336,0.00008044126,0.00007552117,0.007439168,0.00174952,0.009295002,0.9688183,0.00009540209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001023519,0.00008748416,0.003290693,0.00007921729,0.00005701015,0.00007549284,0.9812472,0.0108059,0.003333503],"genre_scores_gemma":[0.00668258,0.0001804061,0.0161296,0.0001880634,0.00004075313,0.000846913,0.9639983,0.008929506,0.003003911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08583199,"threshold_uncertainty_score":0.2871367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09990383965748431,"score_gpt":0.3548759716606436,"score_spread":0.2549721320031593,"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."}}