{"id":"W4307552289","doi":"10.3390/en15217910","title":"Ship Energy Efficiency and Maritime Sector Initiatives to Reduce Carbon Emissions","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Enforcement; Sustainability; Renewable energy; Maturity (psychological); Environmental economics; Greenhouse gas; Business; Clean technology; Efficient energy use; Scale (ratio); Natural resource economics; Engineering; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001885626,0.000157845,0.0001471257,0.00007701988,0.0005798442,0.00002523372,0.0002652342,0.0000334997,0.00977457],"category_scores_gemma":[0.00003208207,0.0001477824,0.00003975592,0.0004796311,0.0001302666,0.00008431915,0.0004367575,0.000132602,0.00001004555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008352321,"about_ca_system_score_gemma":0.00002629735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379313,"about_ca_topic_score_gemma":0.00005561942,"domain_scores_codex":[0.9986184,0.00008155171,0.0001875235,0.0004188114,0.0003541572,0.0003395103],"domain_scores_gemma":[0.9994257,0.00007040953,0.00003675407,0.0002372914,0.000004742201,0.0002250795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003642586,0.00194953,0.09725798,0.00006549437,0.00006196514,0.0003607661,0.01817254,0.4794459,0.2862105,0.02482401,0.02884592,0.06244111],"study_design_scores_gemma":[0.001510318,0.001383359,0.2910232,0.00008070258,0.00008105426,0.0001465754,0.005748214,0.02042198,0.03485211,0.002875551,0.6394257,0.002451221],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8900891,0.0002364566,0.00008402724,0.0005391014,0.0001251311,0.00007755851,0.00002046797,0.00008485094,0.1087433],"genre_scores_gemma":[0.993137,0.00003800335,0.0004461518,0.0003325213,0.00003213583,0.00007938507,0.00001125469,0.00001784347,0.005905716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6105798,"threshold_uncertainty_score":0.9911307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009851573268236434,"score_gpt":0.218108366588051,"score_spread":0.2082567933198146,"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."}}