{"id":"W4317623428","doi":"10.5194/wes-2022-100-rc2","title":"Comment on wes-2022-100","year":2023,"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); Environmental science; Computer science; Submarine pipeline; Fossil fuel; Grid; Marine energy; Engineering; Oceanography; Electrical engineering; 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":[0.0005180797,0.0003324954,0.0004252726,0.00005059381,0.0001578704,0.00001852705,0.0005740433,0.0001781798,0.292659],"category_scores_gemma":[0.00002812122,0.0002456796,0.0002155232,0.0004129154,0.00008909999,0.00002832046,0.0002151702,0.0004468113,0.02587428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001752642,"about_ca_system_score_gemma":0.0000226788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001895871,"about_ca_topic_score_gemma":0.0002252372,"domain_scores_codex":[0.99767,0.0000407859,0.0003832116,0.0006169797,0.0008626694,0.0004263465],"domain_scores_gemma":[0.9989176,0.00008058093,0.00008638033,0.0006953013,0.000006533448,0.0002135979],"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":[0.000001686417,0.0001147656,0.00004431656,0.0002612003,0.000006857932,0.00002396548,0.000008590597,0.0000316505,0.000001939244,0.00006495162,0.9862652,0.01317489],"study_design_scores_gemma":[0.00008137603,0.0000773027,0.0002295095,0.001036525,0.00004125305,0.000001669972,0.00000498079,0.00006862514,0.000007330247,0.00005581931,0.9980757,0.000319879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000008228983,0.0009384204,0.00004486517,0.2772541,0.001371223,0.0005259503,0.0001767603,0.0002042503,0.7194762],"genre_scores_gemma":[0.00003010804,0.006741303,0.0001498659,0.04749921,0.00008760326,0.00006961457,0.0007557021,0.00004719893,0.9446194],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2667848,"threshold_uncertainty_score":0.9999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005363885358129,"score_gpt":0.2880126261885348,"score_spread":0.2579589873349535,"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."}}