{"id":"W2971413950","doi":"10.1051/matecconf/201928202081","title":"Evaluating the potential of freeze-thaw damage in internally insulated masonry under climate change using different models","year":2019,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Building materials and conservation","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; National Research Council Canada","funders":"","keywords":"Environmental science; Frost (temperature); Climate change; Cold climate; Storm; Return period; Masonry; Meteorology; Flood myth; Engineering; Civil engineering; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005173536,0.0006918401,0.000396537,0.0008294438,0.0004661277,0.00073009,0.0007547782,0.0006704988,0.001039952],"category_scores_gemma":[0.0007578297,0.0002827634,0.001012164,0.0005221624,0.000388283,0.0004624671,0.0003483141,0.0004003973,0.0001109036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002297674,"about_ca_system_score_gemma":0.001040837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2243959,"about_ca_topic_score_gemma":0.2012619,"domain_scores_codex":[0.9998059,0.00003231272,0.000009293932,0.00003246327,0.00005080932,0.00006928088],"domain_scores_gemma":[0.9996194,0.000149939,0.00004665258,0.00003382653,0.0001070242,0.00004328002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008678407,0.0000460959,0.02364054,0.00003671226,0.00003850318,0.0001124668,0.00004941588,0.9706731,0.002479624,0.0002216102,0.0001052411,0.002509863],"study_design_scores_gemma":[0.00001734275,0.0001401637,0.03337332,0.00001689695,0.00005752236,0.00005841779,0.0001609398,0.9631477,0.002490229,0.0001743837,0.0003387135,0.00002443108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956046,0.0001027448,0.002005825,0.00002598299,0.000008401402,0.00001928117,0.0002764534,0.00005044573,0.001906196],"genre_scores_gemma":[0.9985003,0.00006612283,0.000831292,0.000004458647,0.000001350124,0.000007192245,0.0001787731,0.00001031395,0.0004001971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2243959,"threshold_uncertainty_score":0.4461796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09544147751121368,"score_gpt":0.2870160732223375,"score_spread":0.1915745957111238,"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."}}