{"id":"W4234682025","doi":"10.1002/9781118476406.emoe351","title":"Introduction","year":2017,"lang":"en","type":"other","venue":"Encyclopedia of Maritime and Offshore Engineering","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Risk analysis (engineering); Context (archaeology); Risk management; Risk assessment; Process (computing); Submarine pipeline; Computer science; Business; Environmental resource management; Environmental planning; Engineering; Environmental science; Geography; Computer security","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007031854,0.0002228036,0.0005893223,0.0005604496,0.00005258282,0.00007171698,0.0004922794,0.0002404632,0.002647416],"category_scores_gemma":[0.001231897,0.0001860574,0.0001483902,0.0001680572,0.0000739414,0.0001127817,0.0001411414,0.0002039808,0.0001077775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008974519,"about_ca_system_score_gemma":0.00002747345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001097356,"about_ca_topic_score_gemma":0.00009119074,"domain_scores_codex":[0.9983714,0.00002883044,0.0003820295,0.0004465426,0.0005858981,0.0001853423],"domain_scores_gemma":[0.9985746,0.0001761011,0.0003007335,0.0007952493,0.00005867575,0.00009465395],"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":[0.000003529948,0.000008857365,0.0004887952,0.00002901926,0.00005866537,0.000006468127,0.00003475147,0.00008443654,0.00000484074,0.000363518,0.8643248,0.1345923],"study_design_scores_gemma":[0.00008785279,0.00001564498,0.001554156,0.0000624896,0.00005618516,0.000004840473,0.00001569121,0.0007295987,0.000007977568,0.0003806025,0.9968901,0.0001948463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006875744,0.005641596,0.004120579,0.0007404619,0.001191735,0.0001201118,0.00004808955,0.0000884334,0.9879802],"genre_scores_gemma":[0.0006297165,0.01461578,0.002816358,0.000006571368,0.002791069,0.000005683079,0.00002472915,0.0001250449,0.9789851],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1343974,"threshold_uncertainty_score":0.9982643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393485953538848,"score_gpt":0.2714056979404242,"score_spread":0.2574708384050358,"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."}}