{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001613997,0.0002487945,0.0001631162,0.0009567104,0.001318971,0.000745453,0.0003552716,0.0001762005,0.00182213],"category_scores_gemma":[0.0003141087,0.0001125678,0.0001256992,0.001018446,0.0004398861,0.0002537733,0.0001762677,0.0002505453,0.0001080636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01571865,"about_ca_system_score_gemma":0.003266244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9895601,"about_ca_topic_score_gemma":0.9959821,"domain_scores_codex":[0.9998778,0.000005975278,0.000002781016,0.0000387425,0.00003972628,0.0000349653],"domain_scores_gemma":[0.9996388,0.00002177168,0.00005379876,0.00001191455,0.0002197242,0.00005403312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002062032,0.00008094928,0.9543681,0.00007049708,0.0001125737,0.000298828,0.0009199207,0.001689595,0.01284566,0.000381153,0.002800104,0.02622647],"study_design_scores_gemma":[0.000002153943,0.000005873369,0.9982772,0.000005313986,0.000005538396,0.00001596064,0.0001974979,0.0004025305,0.0002416127,0.000008998487,0.0008328477,0.000004435768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945562,0.0005216645,0.00009785357,0.00007621069,0.000005637811,0.00001327128,0.001767889,0.00001210736,0.002949128],"genre_scores_gemma":[0.9978873,0.0001770599,0.0001269566,0.00003127457,0.000002274075,0.000006069296,0.0007181503,0.000003334211,0.001047717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01571865,"threshold_uncertainty_score":0.1140473,"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."}}