{"id":"W4310604771","doi":"10.5194/wes-2022-100-rc1","title":"Comment on wes-2022-100","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"Pacific Institute for Climate Solutions","keywords":"Offshore wind power; Wind power; Marine engineering; Renewable energy; Resource (disambiguation); Computer science; Submarine pipeline; Fossil fuel; Environmental science; Marine energy; Grid; Engineering; Electrical engineering; Oceanography; Geology; Waste management","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"category_scores_codex":[0.0005602521,0.0003289778,0.0004172737,0.00004474803,0.0002958871,0.00001540651,0.0007136008,0.0001080161,0.8636656],"category_scores_gemma":[0.00001646312,0.0002579741,0.0002294004,0.0003251104,0.00007941674,0.00002999594,0.000368502,0.0006530544,0.003525472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003361949,"about_ca_system_score_gemma":0.00002991645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001791128,"about_ca_topic_score_gemma":0.00008402804,"domain_scores_codex":[0.9974219,0.00007259665,0.000379588,0.0006376644,0.001097,0.0003912835],"domain_scores_gemma":[0.998889,0.00005945058,0.0001041236,0.0007470656,0.000004468779,0.0001958607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002909006,0.0002375013,0.00004619107,0.0001775759,0.000006530534,0.0000228212,0.00001191646,0.00006272105,0.000001693517,0.0001006538,0.9856647,0.01366477],"study_design_scores_gemma":[0.00009572392,0.0001345572,0.00008631838,0.0002825323,0.0000446838,0.000004072463,0.000008818529,0.00004351595,0.000004367669,0.00003353626,0.9989222,0.0003396298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007213063,0.002050329,0.00002771829,0.2108625,0.001031807,0.0005025362,0.0002113564,0.00007689724,0.7852297],"genre_scores_gemma":[0.00005298605,0.005386459,0.0001880687,0.09182253,0.00006013549,0.0001341753,0.001135677,0.00003537005,0.9011846],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8601401,"threshold_uncertainty_score":0.9999872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02178819062732876,"score_gpt":0.2731394061175841,"score_spread":0.2513512154902553,"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."}}