{"id":"W1992743151","doi":"10.1115/ipc2002-27310","title":"An Innovative Approach for Pipeline Repairs","year":2002,"lang":"en","type":"article","venue":"4th International Pipeline Conference, Parts A and B","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Pipeline (software); Global Positioning System; Pipeline transport; Computer science; Database; Software; Quality (philosophy); Relational database; Engineering; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001765602,0.0007658785,0.0004200119,0.002252203,0.001100737,0.003045319,0.002533771,0.001186479,0.01061181],"category_scores_gemma":[0.00258382,0.0004357317,0.0008092526,0.001807889,0.001310417,0.003061155,0.003385818,0.001266561,0.005008723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021569,"about_ca_system_score_gemma":0.002504398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00175988,"about_ca_topic_score_gemma":0.002764554,"domain_scores_codex":[0.9973236,0.0003938307,0.0001212897,0.0006878671,0.001335565,0.0001377781],"domain_scores_gemma":[0.9988666,0.0001490537,0.00009588302,0.0004176448,0.0003943799,0.00007656274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001201869,0.0003068793,0.001520239,0.0003127429,0.00006764325,0.0003401878,0.001357611,0.008645238,0.02043006,0.1517049,0.02068138,0.7945129],"study_design_scores_gemma":[0.00012117,0.0007904184,0.002843488,0.0002342904,0.000122545,0.002325844,0.001531506,0.04372438,0.02259492,0.09281781,0.8327523,0.0001413179],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01163786,0.0007112056,0.9174054,0.001818091,0.0004826446,0.000417926,0.0002188061,0.002604948,0.06470308],"genre_scores_gemma":[0.1182119,0.001392546,0.8216668,0.0009651117,0.0002479908,0.0004524436,0.0004502299,0.0003750746,0.05623792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01061181,"threshold_uncertainty_score":0.03549999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03266877056378333,"score_gpt":0.2449774683998987,"score_spread":0.2123086978361154,"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."}}