{"id":"W4210698904","doi":"10.1016/j.jpse.2022.01.003","title":"An overview on pipeline steel development for cold climate applications","year":2022,"lang":"en","type":"article","venue":"Journal of Pipeline Science and Engineering","topic":"Material Properties and Failure Mechanisms","field":"Materials Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cold climate; Pipeline (software); Cracking; Extreme Cold; Environmental science; Forensic engineering; Materials science; Engineering; Mechanical engineering; Geology; Climatology; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002851681,0.0008781198,0.0005030346,0.00251987,0.0002870864,0.0006613504,0.0004957067,0.0009461959,0.00814574],"category_scores_gemma":[0.0001994188,0.0004259948,0.0005143657,0.002266478,0.000143463,0.001040216,0.0004707968,0.0007781401,0.004252652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004289833,"about_ca_system_score_gemma":0.0007905421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001399341,"about_ca_topic_score_gemma":0.00238443,"domain_scores_codex":[0.9998096,0.00002147939,0.00002486222,0.00003837143,0.0000846681,0.00002103961],"domain_scores_gemma":[0.9998597,0.00003779958,0.00002455932,0.000005731094,0.00005919566,0.00001300612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008023289,0.0001425014,0.0005004018,0.02715191,0.00007102548,0.0003829486,0.0001492468,0.002385363,0.02749788,0.01055892,0.04096919,0.8901103],"study_design_scores_gemma":[0.000003699078,0.0001596407,0.0008713897,0.001689712,0.00003329638,0.0004821215,0.00003996578,0.0002302473,0.002642223,0.001352743,0.9924815,0.00001354566],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002380116,0.9646995,0.003425088,0.0005495729,0.0005341085,0.00004859842,0.00025961,0.00007392727,0.0280294],"genre_scores_gemma":[0.004688813,0.9815844,0.003367018,0.0002929069,0.0002997264,0.00003623324,0.0003335143,0.00001528557,0.009382086],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00814574,"threshold_uncertainty_score":0.02725023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02780079804185286,"score_gpt":0.2634602721561461,"score_spread":0.2356594741142932,"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."}}