{"id":"W4412161667","doi":"10.46254/af6.20250114","title":"Predicting greenhouse gas Emissions in Shipping: A Case Study Of Canada","year":2025,"lang":"en","type":"article","venue":"","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Environmental science; Geology; Oceanography","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":[0.0004966173,0.001064604,0.0003622627,0.0008014712,0.001583712,0.001043705,0.001022404,0.000908452,0.0009620943],"category_scores_gemma":[0.00128068,0.0002595464,0.0006006002,0.002097459,0.0007054301,0.0006210551,0.0005947381,0.0008293197,0.0001531151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009875163,"about_ca_system_score_gemma":0.008393108,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9617078,"about_ca_topic_score_gemma":0.9650084,"domain_scores_codex":[0.9997287,0.0000317338,0.00001310828,0.00006954162,0.00008335958,0.00007351464],"domain_scores_gemma":[0.9993547,0.000226268,0.00003012931,0.00002826685,0.0002808619,0.00007971744],"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":[0.0003125261,0.0006157376,0.1516968,0.0002377886,0.0001921972,0.003156329,0.0006516793,0.7916002,0.003592029,0.002095484,0.007804532,0.03804469],"study_design_scores_gemma":[0.0000644759,0.0001140288,0.05895443,0.00002870826,0.00007279821,0.0001208461,0.001584619,0.9305514,0.002758696,0.0008646172,0.00483256,0.00005280538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989627,0.0003183967,0.002810322,0.0007224976,0.00002191277,0.00009549614,0.001880819,0.0001948517,0.00432862],"genre_scores_gemma":[0.9862039,0.0004346205,0.006810126,0.0001192755,0.000009634818,0.00002699743,0.002671234,0.0000404272,0.003683815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03829217,"threshold_uncertainty_score":0.07703531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009115727294052522,"score_gpt":0.2290239556676485,"score_spread":0.219908228373596,"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."}}