{"id":"W7132003752","doi":"","title":"A unified data platform for maritime analytics and predictive modeling in Arctic operations","year":2025,"lang":"en","type":"article","venue":"NPARC","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Interpretability; Dashboard; Analytics; Geospatial analysis; Visualization; Field (mathematics); Data visualization; Turnkey; Univariate","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004511846,0.001428397,0.0009450985,0.003119817,0.001333453,0.00560502,0.002893224,0.001087152,0.009704851],"category_scores_gemma":[0.00937389,0.0008461432,0.001564022,0.003848029,0.0008239449,0.005205357,0.006148795,0.002617726,0.008329265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001893692,"about_ca_system_score_gemma":0.005161863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04290243,"about_ca_topic_score_gemma":0.03010498,"domain_scores_codex":[0.9974074,0.0003761649,0.0003583764,0.0005820208,0.001018237,0.0002577788],"domain_scores_gemma":[0.9950689,0.0007396751,0.0002587182,0.001789789,0.001601482,0.0005414464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001645859,0.0007139976,0.02300869,0.001202665,0.0004580309,0.001267717,0.003246888,0.09555722,0.02519526,0.1091272,0.3911484,0.3474281],"study_design_scores_gemma":[0.0002368636,0.0002005083,0.0115064,0.0006042463,0.0001494858,0.0002722309,0.0008110441,0.2786916,0.02515045,0.04844043,0.6335552,0.0003815275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02313096,0.0007337964,0.5801598,0.002312338,0.0008760197,0.001015811,0.1103218,0.2494542,0.03199521],"genre_scores_gemma":[0.1941707,0.001348328,0.5019635,0.001132727,0.0003783694,0.001431595,0.2633014,0.02373073,0.01254272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04290243,"threshold_uncertainty_score":0.08530545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03712294086108012,"score_gpt":0.2682411613304554,"score_spread":0.2311182204693753,"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."}}