{"id":"W6959539143","doi":"10.1021/es803623f.s001","title":"Source Attribution of Black Carbon in Arctic Snow","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Pasture and Agricultural Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon black; Arctic; Aerosol; Snow; Biomass burning; The arctic; Carbon fibers; Biomass (ecology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005406752,0.0003673335,0.0003125011,0.003741805,0.00101807,0.0009018552,0.0003000351,0.0003273599,0.001279449],"category_scores_gemma":[0.0009566001,0.0003260622,0.0004653328,0.002072419,0.0003216453,0.0003143127,0.0008356925,0.00017159,0.0002096743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828234,"about_ca_system_score_gemma":0.001307426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09244537,"about_ca_topic_score_gemma":0.1457731,"domain_scores_codex":[0.9996378,0.00003831401,0.00002378277,0.00006614161,0.0001540698,0.00007975166],"domain_scores_gemma":[0.9993405,0.0001289868,0.0001364128,0.00005022536,0.0002838877,0.00006004771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002986546,0.00004273562,0.9565551,0.000114931,0.0001752255,0.0006245202,0.0006105762,0.004616228,0.01770975,0.0005791248,0.0005737135,0.0180995],"study_design_scores_gemma":[0.00001913726,0.00001937652,0.9876142,0.00004585509,0.00005573908,0.0001328668,0.0003943065,0.005798347,0.003935071,0.0004418806,0.00152921,0.00001398978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944336,0.000295923,0.0005270737,0.0000342194,0.00002498493,0.00002148551,0.002032961,0.00003720387,0.00259256],"genre_scores_gemma":[0.996723,0.0002722344,0.0005999696,0.00001189181,0.0000157003,0.00001268487,0.001869546,0.00003594919,0.0004590131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09244537,"threshold_uncertainty_score":0.1838146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03240113685385478,"score_gpt":0.2078455109862389,"score_spread":0.1754443741323842,"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."}}