{"id":"W2137945591","doi":"10.1029/2008gl033906","title":"Light absorbing carbon emissions from commercial shipping","year":2008,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"National Oceanic and Atmospheric Administration","keywords":"Environmental science; Aerosol; Arctic; Air quality index; Atmospheric sciences; The arctic; Climatology; Meteorology; Oceanography; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001070237,0.0002290358,0.00007697342,0.0006831149,0.000442159,0.0002690102,0.0001679167,0.0001722397,0.001141916],"category_scores_gemma":[0.0001691901,0.00008707491,0.0001231434,0.0009252654,0.0001328087,0.0001652519,0.0002177391,0.000132502,0.0002376919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004568665,"about_ca_system_score_gemma":0.0001027472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01533777,"about_ca_topic_score_gemma":0.01986754,"domain_scores_codex":[0.9999031,0.000008409365,0.000003594849,0.00002873443,0.00003558439,0.00002057125],"domain_scores_gemma":[0.9998682,0.00002161945,0.00003257645,0.000009738594,0.00005574022,0.00001218389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005612433,0.0002034808,0.5823207,0.0002540421,0.0001670934,0.0009335914,0.0006856033,0.002490988,0.3537558,0.0001612485,0.001122149,0.05734408],"study_design_scores_gemma":[0.000008629981,0.0002205962,0.9211382,0.00001085728,0.00004009299,0.0004423126,0.0003026812,0.001895819,0.07289144,0.00005241173,0.002982049,0.00001493619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987974,0.00007088175,0.0001249552,0.000004735571,6.981983e-7,0.00000261877,0.0001832766,0.000008153473,0.0008071365],"genre_scores_gemma":[0.9983699,0.0001523257,0.000297514,0.000005967513,0.00000437694,0.000005149545,0.0005482102,0.000005084161,0.000611496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01533777,"threshold_uncertainty_score":0.03049695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05294051348286676,"score_gpt":0.2819321214086262,"score_spread":0.2289916079257594,"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."}}