{"id":"W3009019271","doi":"","title":"Export of Carbon From the Yukon River and Some of its Major Tributaries","year":2002,"lang":"en","type":"article","venue":"AGUFM","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tributary; Carbon fibers; Environmental science; Geology; Geography; Computer science; Cartography","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":[0.0001128443,0.00004557123,0.000123007,0.00001077043,0.000170258,0.000004138494,0.00008902146,0.0000365604,0.0000692329],"category_scores_gemma":[0.0001332608,0.0000287906,0.00002763812,0.00006345127,0.000640393,0.00005120433,0.00004371638,0.00003785496,0.000003522694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008029237,"about_ca_system_score_gemma":0.00001408748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02066132,"about_ca_topic_score_gemma":0.001284782,"domain_scores_codex":[0.9995117,0.00004670542,0.0001087609,0.00007332703,0.0001468548,0.0001126416],"domain_scores_gemma":[0.9996308,0.000171042,0.00007172122,0.00007672599,0.00002402051,0.00002568172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00003681512,0.0001341358,0.1592156,0.00004415378,0.0003307038,0.00000832824,0.7088436,0.000001932332,0.000490566,0.1033835,0.01631711,0.01119345],"study_design_scores_gemma":[0.001399775,0.0001962491,0.7626339,0.0001431361,0.0002420983,0.000001094876,0.06250746,0.0001854327,0.004629969,0.04713732,0.120476,0.000447503],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639341,0.004653398,8.686925e-7,0.009103709,0.00007680192,0.00008736066,0.00002224338,0.000008942951,0.02211254],"genre_scores_gemma":[0.9966692,0.001418313,0.00002749431,0.0001254775,0.0001470288,0.00000233754,4.046634e-7,0.000002557025,0.001607142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6463362,"threshold_uncertainty_score":0.9858602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03428795108948952,"score_gpt":0.2735227243394318,"score_spread":0.2392347732499422,"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."}}