{"id":"W4301257129","doi":"10.5957/icetech-2008-119","title":"Transport Canada EER Research and Development Program","year":2008,"lang":"en","type":"article","venue":"","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Computer science; Work (physics); Submarine pipeline; Selection (genetic algorithm); Scale (ratio); Phase (matter); Systems engineering; Engineering management; Operations research; Risk analysis (engineering); Engineering; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006458598,0.0009488314,0.0003821498,0.003067389,0.003335807,0.002619145,0.001889771,0.0008251228,0.04046726],"category_scores_gemma":[0.00559853,0.0004170144,0.0005150994,0.002117437,0.0009135072,0.0007694532,0.00156939,0.001128098,0.009596188],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02911513,"about_ca_system_score_gemma":0.1901324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8895897,"about_ca_topic_score_gemma":0.9019589,"domain_scores_codex":[0.9935436,0.0004415384,0.0001167892,0.0004062101,0.004653919,0.0008378511],"domain_scores_gemma":[0.9847479,0.0003468157,0.0002427656,0.0005474832,0.01263365,0.00148134],"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":[0.0005223455,0.0008077647,0.0134188,0.0004651347,0.00004048325,0.0005094587,0.001228077,0.005467547,0.01494271,0.05524921,0.5443588,0.3629895],"study_design_scores_gemma":[0.00005450567,0.0002487835,0.01055136,0.0000865548,0.00001785784,0.0001451174,0.0004775799,0.002675762,0.004699102,0.0004719284,0.9805383,0.00003314282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04533554,0.003102317,0.04656539,0.02365315,0.001351657,0.005711425,0.04536508,0.005338443,0.823577],"genre_scores_gemma":[0.09812223,0.003714583,0.05260736,0.002377428,0.00008961075,0.001276531,0.03074758,0.0006660611,0.8103986],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9708849,"threshold_uncertainty_score":0.2221209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05335501725567133,"score_gpt":0.2683790073249032,"score_spread":0.2150239900692318,"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."}}