{"id":"W4403933631","doi":"10.1007/978-3-031-66971-2_68","title":"Role of Profile Quality Indices in Rail Profile Optimization","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in mechanical engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; National Research Council Canada; Canadian Pacific Railway (Canada)","funders":"","keywords":"Quality (philosophy); Computer science; Environmental science; Physics","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":[0.002094627,0.001369239,0.001491856,0.0009489711,0.0004241228,0.002454038,0.001142289,0.0008906412,0.004225179],"category_scores_gemma":[0.00588639,0.0006665438,0.0005974463,0.001312893,0.00082782,0.002961295,0.001168326,0.001621565,0.0006598834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008362887,"about_ca_system_score_gemma":0.0006201976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00190086,"about_ca_topic_score_gemma":0.001996492,"domain_scores_codex":[0.9993875,0.0002594786,0.00002472006,0.00008758784,0.0002003442,0.00004038976],"domain_scores_gemma":[0.9984944,0.0009195406,0.0001482526,0.0001239765,0.0002573247,0.00005642272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001107009,0.000082684,0.0008605134,0.0001452563,0.00005082407,0.00003106987,0.00003716049,0.760302,0.002165243,0.07160354,0.003218102,0.1613929],"study_design_scores_gemma":[0.00000447485,0.0000432885,0.0003267916,0.00003300264,0.0000155325,0.0000147348,0.00001173477,0.9763144,0.000693694,0.02113615,0.001396457,0.000009675748],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01744613,0.00307833,0.9445508,0.0004409432,0.0002272446,0.00004669973,0.0001062363,0.0002398759,0.03386382],"genre_scores_gemma":[0.6862208,0.004090468,0.2836539,0.0001609167,0.0004143685,0.0001036408,0.0002723841,0.0007853432,0.0242982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004225179,"threshold_uncertainty_score":0.01413459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006356500796046939,"score_gpt":0.2102211750516099,"score_spread":0.203864674255563,"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."}}