{"id":"W2797656500","doi":"10.7939/r37x0b","title":"Black carbon in Quebec boreal black spruce forests","year":2013,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Black spruce; Taiga; Boreal; Forestry; Carbon black; Geography; Environmental science; Physical geography; Archaeology; Chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001618887,0.00009314786,0.0001360651,0.00001018883,0.00002924064,0.0000192157,0.000266983,0.00007926929,0.006817841],"category_scores_gemma":[0.000006743551,0.00009677824,0.000045128,0.0001653981,0.0002164359,0.0007221849,0.00003102105,0.00009450033,0.0001728082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003096883,"about_ca_system_score_gemma":0.00007119915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5168244,"about_ca_topic_score_gemma":0.2213611,"domain_scores_codex":[0.9994376,0.00002283182,0.00009171825,0.0001724341,0.00008906727,0.0001864037],"domain_scores_gemma":[0.9995676,0.0001151639,0.00005523015,0.0001487245,0.000006750353,0.0001065754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003622191,0.00001895727,0.991284,0.00002589036,0.000009575849,0.00002051004,0.001853709,0.0006083677,0.00002911877,0.00004391685,0.00485845,0.001211307],"study_design_scores_gemma":[0.0003402447,0.00003284601,0.9865726,0.00003008741,0.000005891766,0.00000102588,0.001565545,0.006911398,0.0004560388,0.0002628914,0.003670038,0.0001514134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8070982,0.00001896145,0.000001690588,0.0005522546,0.00001966538,0.00007788771,0.000003294477,0.0000134412,0.1922146],"genre_scores_gemma":[0.9658898,0.00002104478,0.0003353647,0.00005743804,0.0000274857,1.345283e-8,0.00008696187,0.000002419308,0.03357945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2954634,"threshold_uncertainty_score":0.9940901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00507070063368909,"score_gpt":0.1506854415730473,"score_spread":0.1456147409393582,"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."}}