{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006425081,0.00007840429,0.0001197338,0.00009700569,0.0007748764,0.00002063376,0.0005831555,0.00005396512,0.0004831215],"category_scores_gemma":[0.00007993764,0.00006457688,0.00004113965,0.000192288,0.001170115,0.0001219475,0.0002863484,0.0001787733,0.00003544736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001821534,"about_ca_system_score_gemma":0.00005695678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06533911,"about_ca_topic_score_gemma":0.01233243,"domain_scores_codex":[0.9988558,0.00007122584,0.00008756156,0.0002093849,0.0003703132,0.0004056866],"domain_scores_gemma":[0.9989812,0.0000644426,0.00006137857,0.0005222273,0.00002365704,0.0003470369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001258899,0.0001146816,0.9767114,0.0001633185,0.00002006993,0.0000770941,0.01505793,0.0001916148,0.002032677,0.0005204289,0.00059177,0.004393129],"study_design_scores_gemma":[0.0002756665,0.0001091057,0.990918,0.0002451375,0.00001163175,0.000002134696,0.004685564,0.0006723969,0.0002136333,0.0003411838,0.002436947,0.00008860158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979833,0.00001406144,0.000002058708,0.002253054,0.00001331526,0.000141707,0.000009421105,0.000004560243,0.01772882],"genre_scores_gemma":[0.9995431,0.0003069015,0.00006984092,0.00001125541,0.000006655912,1.82367e-7,0.000001248769,0.000004052738,0.00005678297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05300668,"threshold_uncertainty_score":0.9408849,"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."}}