{"id":"W2944431026","doi":"10.12716/1001.13.01.22","title":"End-user and Stakeholder Views on Selected Risk Assessment Tools for Marine Oil Spill Preparedness and Response, Including Future Research and Development Needs","year":2019,"lang":"en","type":"article","venue":"TransNav the International Journal on Marine Navigation and Safety of Sea Transportation","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Forschungszentrum Jülich; Academy of Finland; Svenska Forskningsrådet Formas; European Commission","keywords":"Oil spill; Preparedness; Stakeholder; Emergency response; Environmental planning; Environmental resource management; Deepwater horizon; Business; Engineering; Environmental science; Petroleum engineering; Political science; Public relations; Medical emergency; Medicine","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":[0.001765198,0.0001556979,0.0001655943,0.0001545978,0.0003478064,0.0001243273,0.0001137596,0.00007797396,0.000218493],"category_scores_gemma":[0.00003071902,0.0001197716,0.00002904176,0.0001917609,0.0001100002,0.0003554061,0.00002226384,0.0003513651,0.000001857043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001886271,"about_ca_system_score_gemma":0.00005444047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009067647,"about_ca_topic_score_gemma":0.0003245029,"domain_scores_codex":[0.9982774,0.0001521506,0.0004636102,0.0002515701,0.0007001943,0.0001550923],"domain_scores_gemma":[0.999053,0.0003463895,0.0002151594,0.0000816321,0.0002042214,0.00009958771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008024476,0.0001648043,0.1591681,0.0000951371,0.0001599637,0.000005072186,0.007535583,0.0006841772,0.01905552,0.001999222,0.00005504992,0.8030529],"study_design_scores_gemma":[0.002710669,0.0005580928,0.9753587,0.00009930917,0.00002429336,0.00002774805,0.001492997,0.0005653708,0.003351569,0.0006196047,0.01503628,0.0001553993],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958184,0.00002005348,0.0004717388,0.002669028,0.0001706923,0.0003776274,0.00004963681,0.00001291528,0.0004098791],"genre_scores_gemma":[0.9965296,0.001021633,0.001719745,0.0001414595,0.00005157846,0.0000262314,0.0001868793,0.00001501887,0.0003078523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8161906,"threshold_uncertainty_score":0.4884145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04900060154101312,"score_gpt":0.3174156035432742,"score_spread":0.2684150020022611,"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."}}