{"id":"W7007986833","doi":"","title":"Autonomous Flying Boats: How Technology Can Create a Step Function Change in Marine Vessel Efficiency","year":2021,"lang":"en","type":"article","venue":"University of New Hampshire Scholars Repository (University of New Hampshire at Manchester)","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aerospace; Range (aeronautics); Labor cost; Bhattacharyya distance; Dynamic positioning; Naval architecture; Cost reduction; Automotive industry; On board","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000237068,0.000362582,0.000616535,0.0003506772,0.0008133886,0.00003671163,0.0008483118,0.000424152,0.001893501],"category_scores_gemma":[0.00003234222,0.0005007674,0.0002640942,0.001444658,0.0005045918,0.0009904397,0.001013261,0.0005205006,0.00004803458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007741124,"about_ca_system_score_gemma":0.0002991482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008490991,"about_ca_topic_score_gemma":0.006243258,"domain_scores_codex":[0.9975052,0.0001096348,0.0002896444,0.0009700112,0.0005431959,0.0005823201],"domain_scores_gemma":[0.9981924,0.00005403599,0.0004160281,0.000815906,0.00008014309,0.0004414442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008850545,0.0009713001,0.8053536,0.0002671014,0.0001577809,0.003104076,0.01662381,0.0005068469,0.09775745,0.0001428344,0.004284327,0.06994579],"study_design_scores_gemma":[0.004555436,0.0005040675,0.858327,0.0004960193,0.0002780039,0.0002385167,0.01751343,0.0013851,0.002877609,0.0001349353,0.11265,0.001039916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882774,0.0001830486,0.001378095,0.002231344,0.0001691195,0.0003671813,0.00001681839,0.000127465,0.007249542],"genre_scores_gemma":[0.9610471,0.0001607466,0.00473714,0.00006725366,0.000031941,1.953828e-7,0.0000477464,0.00002551417,0.03388239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1083657,"threshold_uncertainty_score":0.9997444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415043613897007,"score_gpt":0.1846036278560627,"score_spread":0.1704531917170926,"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."}}