{"id":"W3048685207","doi":"","title":"Impacts of Canadian and global black carbon shipping emissions on Arctic climate","year":2017,"lang":"en","type":"article","venue":"Research Explorer (The University of Manchester)","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Climate change; Arctic; The arctic; Environmental science; Global warming; Natural resource economics; Climatology; Environmental protection; Geography; Oceanography; Economics","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":[0.0003485857,0.0008553345,0.0003743136,0.0004719072,0.001510906,0.001120505,0.0005445251,0.000592928,0.001971003],"category_scores_gemma":[0.000754195,0.0002535665,0.001180446,0.000934386,0.0004537782,0.0006060986,0.0007023451,0.0004871136,0.0001318072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01211092,"about_ca_system_score_gemma":0.01140621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9567262,"about_ca_topic_score_gemma":0.9572033,"domain_scores_codex":[0.9996487,0.00003823617,0.00000834398,0.00004761464,0.0001022071,0.0001548138],"domain_scores_gemma":[0.9997438,0.00003765974,0.00002248877,0.00001274864,0.0001362654,0.0000471128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005077238,0.000122925,0.1443835,0.0001402999,0.0005064773,0.0003619241,0.0001853576,0.8313884,0.006325658,0.002386211,0.002438367,0.01125318],"study_design_scores_gemma":[0.0002502263,0.000258786,0.4093771,0.00005807517,0.0006174669,0.0001346964,0.001336408,0.5689876,0.007804293,0.001272651,0.009728451,0.0001743328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900095,0.0002615293,0.0005257973,0.0002726162,0.00003152031,0.000009945918,0.001318191,0.00006884131,0.007501902],"genre_scores_gemma":[0.9971622,0.0003048561,0.0005968662,0.00005687046,0.000005444353,0.000005700363,0.000889893,0.00002538984,0.0009527598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04327381,"threshold_uncertainty_score":0.08787125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05918727219587874,"score_gpt":0.2815435261008409,"score_spread":0.2223562539049621,"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."}}