{"id":"W4309855151","doi":"10.3390/su142315630","title":"Maritime Autonomous Surface Ships: Problems and Challenges Facing the Regulatory Process","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Sept Iles; Université du Québec à Rimouski","funders":"","keywords":"Software deployment; Process (computing); Maritime industry; Position (finance); Sustainable development; Risk analysis (engineering); Business; Element (criminal law); Process management; Computer science; Political science; Commerce; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.001066848,0.0001355532,0.0001465789,0.0000249742,0.0003966219,0.00003381367,0.0001761588,0.00004609386,0.0001947571],"category_scores_gemma":[0.0001171828,0.0001214255,0.00003751143,0.0001508815,0.0001058123,0.0001121024,0.0001354874,0.0003616855,0.000001469399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005242426,"about_ca_system_score_gemma":0.0001075732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003474874,"about_ca_topic_score_gemma":0.00002014701,"domain_scores_codex":[0.9988973,0.0001519278,0.0002100273,0.0002484585,0.0002126631,0.0002796062],"domain_scores_gemma":[0.9992997,0.000104107,0.00002729945,0.0003365925,0.0001680659,0.00006421997],"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":[0.00007407667,0.0002446219,0.02134903,0.00963981,0.0001275092,0.00003405632,0.04017137,0.7710677,0.0001101334,0.03015023,0.000910585,0.1261209],"study_design_scores_gemma":[0.001771595,0.0002798354,0.21574,0.00004660707,0.00007336786,0.0001246018,0.06684413,0.2695307,0.0004630606,0.158925,0.2845185,0.001682713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779276,0.006252606,0.0001300253,0.008649868,0.0001445287,0.001087704,0.00002381733,0.0006107578,0.005173135],"genre_scores_gemma":[0.999297,0.00007797916,0.00002737215,0.00005351025,0.00002047795,0.0001158423,0.000007567741,0.00002111153,0.0003792037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.501537,"threshold_uncertainty_score":0.4951588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473869961095553,"score_gpt":0.2204336589057152,"score_spread":0.2056949592947596,"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."}}