{"id":"W7133283548","doi":"","title":"Enquête sur le givrage des selles de rail (« ice jacking »)","year":2022,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Transport Canada","keywords":"Jacking; Ballast; Fastener; Snow; Track (disk drive); Icing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001356124,0.0003922689,0.0002726049,0.0004817737,0.002061549,0.001965372,0.0004265731,0.001029878,0.01416975],"category_scores_gemma":[0.002460791,0.0002951906,0.0005462804,0.0003469268,0.0008080535,0.001039782,0.0009092816,0.001223664,0.002609188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152129,"about_ca_system_score_gemma":0.002697658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08619736,"about_ca_topic_score_gemma":0.14566,"domain_scores_codex":[0.9993187,0.0001203928,0.00002584131,0.00008980167,0.0002870586,0.0001581397],"domain_scores_gemma":[0.9989718,0.0002755467,0.0001451141,0.00006110534,0.0004126474,0.0001337024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002059057,0.0005439266,0.1866591,0.001217426,0.0001664929,0.01382292,0.04648357,0.02359064,0.07746801,0.05852946,0.183044,0.4064154],"study_design_scores_gemma":[0.00004562326,0.0007949072,0.06879617,0.0003547629,0.00004390313,0.001453081,0.02070812,0.008650846,0.01087943,0.001589732,0.8865456,0.0001377461],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8220469,0.002806286,0.03852978,0.006545795,0.002509446,0.0003438658,0.001351449,0.001026334,0.1248401],"genre_scores_gemma":[0.7439179,0.00203459,0.01662875,0.0005789067,0.0002477459,0.00006991153,0.0008129413,0.0003214103,0.2353878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08619736,"threshold_uncertainty_score":0.1713913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217520166956962,"score_gpt":0.2286506831546612,"score_spread":0.2164754814850916,"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."}}