{"id":"W2794707142","doi":"10.1063/1.5029723","title":"Steel selection for UBC steel bridge","year":2018,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Material selection; Selection (genetic algorithm); Bridge (graph theory); Alloy steel; Materials science; Toughness; Material properties; Engineering; Metallurgy; Alloy; Computer science; Composite material","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":[0.002566104,0.001122759,0.0008233559,0.004861457,0.003192953,0.0009456474,0.001433241,0.001168585,0.05447462],"category_scores_gemma":[0.003469439,0.0005300326,0.0007563824,0.002047967,0.0003703783,0.0006473134,0.001211914,0.0006639783,0.03556049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009437379,"about_ca_system_score_gemma":0.001582016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002148297,"about_ca_topic_score_gemma":0.01048993,"domain_scores_codex":[0.9963349,0.0002814605,0.0002146006,0.0003012253,0.002596122,0.0002716519],"domain_scores_gemma":[0.996237,0.0001228275,0.0001008715,0.0002867046,0.00304882,0.0002037388],"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":[0.001253552,0.0006978682,0.01129323,0.00126437,0.00005760699,0.002114846,0.0008439376,0.002782912,0.2719508,0.007110388,0.2818342,0.4187963],"study_design_scores_gemma":[0.0001186975,0.002001088,0.01755179,0.0003249778,0.00006986004,0.001605964,0.0008839421,0.003448987,0.1448383,0.001107015,0.8279331,0.0001161647],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3511505,0.002251381,0.1171638,0.001938109,0.005419203,0.007829175,0.009850151,0.006972899,0.4974248],"genre_scores_gemma":[0.3271221,0.00199536,0.2687545,0.001713709,0.0006540397,0.004973663,0.01985206,0.005023619,0.369911],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05447462,"threshold_uncertainty_score":0.1822358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04667163749361627,"score_gpt":0.3014293865503015,"score_spread":0.2547577490566852,"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."}}