{"id":"W4403894827","doi":"10.18280/ijsdp.191005","title":"Maritime Energy Efficiency: Emerging Trends and Key Performance Indicators","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Efficient energy use; Energy performance; Environmental economics; Energy (signal processing); Performance indicator; Environmental science; Business; Environmental resource management; Environmental planning; Computer science; Engineering; Economics; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005134335,0.00112847,0.0008662665,0.01181852,0.0004499019,0.005078647,0.0008692312,0.0009293225,0.002095392],"category_scores_gemma":[0.01007149,0.0002555784,0.0009023168,0.02055293,0.00109026,0.005655686,0.001097257,0.001474145,0.0007659479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004159656,"about_ca_system_score_gemma":0.003066991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003869137,"about_ca_topic_score_gemma":0.002988872,"domain_scores_codex":[0.9971983,0.0004645974,0.0004473569,0.000450898,0.001244327,0.0001943867],"domain_scores_gemma":[0.9864252,0.006041379,0.00212234,0.0002357094,0.004932946,0.0002425602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001585343,0.0001492025,0.03652921,0.02462097,0.0002686737,0.00017642,0.001222997,0.004963452,0.002674966,0.05562045,0.01611774,0.8574973],"study_design_scores_gemma":[0.00001756517,0.001138791,0.1731368,0.03923574,0.0009023819,0.001257482,0.01064722,0.01062244,0.01016291,0.05269289,0.6998578,0.0003280481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04701109,0.8768608,0.01466609,0.01326419,0.00094781,0.0001361559,0.002500926,0.0002468079,0.04436605],"genre_scores_gemma":[0.3399178,0.63952,0.01374847,0.0011683,0.0008067134,0.0001260709,0.002157537,0.00008794271,0.002467133],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01181852,"threshold_uncertainty_score":0.03018057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004913284857456221,"score_gpt":0.2205895307091405,"score_spread":0.2156762458516843,"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."}}