{"id":"W4392226198","doi":"","title":"The reduction of emissions from shipping : public policies and their impact on liner shipping company strategy","year":2015,"lang":"fr","type":"preprint","venue":"theses.fr (ABES)","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Reduction (mathematics); Business; Environmental economics; Transport engineering; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001655135,0.0007949087,0.0008355217,0.0001385053,0.000946551,0.0003265784,0.001119216,0.0004927416,0.003485794],"category_scores_gemma":[0.0002146026,0.0004612391,0.000354032,0.0004702306,0.001470798,0.0003027573,0.0006801242,0.001222178,0.000112369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000451434,"about_ca_system_score_gemma":0.0002814546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04703945,"about_ca_topic_score_gemma":0.000490719,"domain_scores_codex":[0.9959855,0.0004586217,0.0009655556,0.0009211611,0.0006832828,0.0009858771],"domain_scores_gemma":[0.9966605,0.0006903563,0.0005505204,0.001263441,0.00008962965,0.0007455877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007569524,0.003527638,0.06617691,0.0004733001,0.001261499,0.00002952861,0.07636054,0.1976264,0.1453302,0.05957882,0.003516701,0.4453616],"study_design_scores_gemma":[0.002266248,0.001357888,0.6161783,0.005720779,0.0005987053,0.0001446332,0.09227911,0.08712769,0.01183828,0.06690433,0.1115338,0.004050249],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.929904,0.002230384,0.0002493883,0.003012302,0.0004934136,0.0006233716,0.000416599,0.00007831271,0.06299222],"genre_scores_gemma":[0.9969471,0.001662147,0.0001770101,0.00003883399,0.0003297145,0.00002946848,0.0001023986,0.00005862646,0.0006547515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5500014,"threshold_uncertainty_score":0.9997839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05788542405069955,"score_gpt":0.2889944509555457,"score_spread":0.2311090269048462,"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."}}