{"id":"W2062924463","doi":"10.1115/ipc2014-33264","title":"Pipeline Coating Selection Process: A Hybrid Multi-Criteria Based Approach","year":2014,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petroleum Technology Alliance Canada","funders":"","keywords":"Computer science; Analytic hierarchy process; Process (computing); Risk analysis (engineering); Selection (genetic algorithm); Pipeline (software); Structuring; Coating; Reliability engineering; Systems engineering; Management science; Operations research; Engineering; Machine learning; Business","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":[0.000207846,0.000139997,0.00018148,0.00008153373,0.00007883505,0.00004927837,0.0000998257,0.00006923819,0.0003181221],"category_scores_gemma":[0.0001374371,0.0001115999,0.00008086123,0.0002475291,0.00002747098,0.0001087357,0.000007257104,0.0002110178,0.00002127565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000368135,"about_ca_system_score_gemma":0.000007794487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008586515,"about_ca_topic_score_gemma":0.00003471551,"domain_scores_codex":[0.9992488,0.0000366346,0.0002200463,0.0001911097,0.0001174945,0.0001858845],"domain_scores_gemma":[0.9996591,0.00004543295,0.00002116085,0.000125541,0.00009175195,0.00005703096],"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":[0.00002440493,0.0001501072,0.001435659,0.001089121,0.0001015808,7.450645e-7,0.0003696117,0.943374,0.03093673,0.0001912357,0.005520355,0.0168065],"study_design_scores_gemma":[0.0002302275,0.00001293164,0.0001405857,0.00001195721,0.00002642332,0.000005019748,0.00007571825,0.9545457,0.04422536,0.0001018765,0.0004700268,0.0001541114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1304419,0.00001903451,0.8608017,0.00006293278,0.000113021,0.0001042364,0.000002982141,0.0006079475,0.007846196],"genre_scores_gemma":[0.9639469,0.000001579742,0.03547208,0.0000983074,0.0001171357,0.00001625331,0.00003155654,0.00001716199,0.0002989951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.833505,"threshold_uncertainty_score":0.4550911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471480539605292,"score_gpt":0.2470499310076407,"score_spread":0.2323351256115878,"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."}}