{"id":"W2746937222","doi":"10.1071/aj13115","title":"Project integrated LNG offloading availability assessment for FLNG","year":2014,"lang":"en","type":"article","venue":"The APPEA Journal","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intecsea (Canada)","funders":"","keywords":"Downtime; Probabilistic logic; Process (computing); Heuristic; Computer science; Key (lock); Liquefied natural gas; Reliability engineering; Operations research; Engineering; Waste management; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001865188,0.0008216118,0.0004706494,0.001467885,0.0004628332,0.001488655,0.0008795668,0.00068426,0.007022488],"category_scores_gemma":[0.002357953,0.0002430006,0.000566082,0.0008349626,0.0003271773,0.001150801,0.001373519,0.0005132393,0.000932728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00215895,"about_ca_system_score_gemma":0.001631528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01266157,"about_ca_topic_score_gemma":0.01740439,"domain_scores_codex":[0.9989512,0.000167184,0.00003109433,0.0001161636,0.0005974845,0.0001368964],"domain_scores_gemma":[0.9988375,0.0002199104,0.0001022583,0.0001426273,0.0006229959,0.0000747142],"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":[0.000905933,0.0002786756,0.01878972,0.0003540624,0.0001072635,0.0004484266,0.0002296594,0.7231279,0.02848125,0.006142645,0.004901271,0.2162332],"study_design_scores_gemma":[0.00004441126,0.0008504952,0.01461574,0.0001178819,0.00005001814,0.0001453463,0.0003604909,0.9301436,0.03522367,0.004176016,0.01419388,0.00007848047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4373021,0.0004358034,0.4808654,0.0003329169,0.0001522873,0.001622041,0.005583761,0.00452974,0.06917603],"genre_scores_gemma":[0.9083639,0.0001248094,0.07573828,0.00004582203,0.00001117026,0.000385817,0.003563361,0.0002094622,0.01155739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01266157,"threshold_uncertainty_score":0.02517575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228816966154477,"score_gpt":0.25121571713743,"score_spread":0.2389275474758852,"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."}}