{"id":"W7009913049","doi":"","title":"Fast & Flexible: streamlining a simulation- based approach to collision risk assessments","year":2022,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Interreg; Queen's University; Queen's University Belfast; European Commission","keywords":"Work (physics); Proteogenomics; Articular cartilage damage; Filter (signal processing); Process (computing); TSG101","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001146433,0.0001847966,0.000211165,0.0007098633,0.001123773,0.00006979931,0.0004556561,0.00009000937,0.001280839],"category_scores_gemma":[0.0001263671,0.0002373418,0.00009949105,0.001816045,0.00005529424,0.0002481696,0.0004036753,0.001013082,0.00007653046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005374721,"about_ca_system_score_gemma":0.0002237902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005157834,"about_ca_topic_score_gemma":0.00001247787,"domain_scores_codex":[0.9969621,0.0004642128,0.0002259515,0.0004223404,0.001360527,0.000564814],"domain_scores_gemma":[0.9984614,0.0004159882,0.00005062622,0.0004329955,0.0002519888,0.0003869518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001179343,0.0001880197,0.004480537,0.00003859526,0.00004649269,0.00004208941,0.0001901207,0.9864576,0.00002920726,0.0007969693,0.004963013,0.002649446],"study_design_scores_gemma":[0.001879656,0.0002328592,0.007264375,0.00003395187,0.00002806393,0.00000164675,0.003051473,0.6947457,0.00008983553,0.00005624612,0.2921416,0.0004745605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3713734,0.00001267176,0.3385715,0.0006376657,0.0003755837,0.002438681,0.001720721,0.001391372,0.2834784],"genre_scores_gemma":[0.986018,0.00001384777,0.004675299,0.00002746056,0.00004226534,0.00001131674,0.0005770038,0.000038431,0.008596393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6146446,"threshold_uncertainty_score":0.9996321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436180337850053,"score_gpt":0.3158679696247076,"score_spread":0.2815061662462071,"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."}}