{"id":"W4386746151","doi":"10.1201/9781003323020-199","title":"Climatic design data for buildings and infrastructure under changing climate in Canada","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Climate change; Geography; Environmental resource management; Architectural engineering; Environmental science; Climatology; Physical geography; Engineering; Geology; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003940816,0.0002383995,0.0002739697,0.00009475332,0.0001002066,0.00004382867,0.0003028738,0.0001301861,0.0008500988],"category_scores_gemma":[0.00002237473,0.0002252611,0.00001668698,0.0000474003,0.0000741678,0.000178342,0.0009382836,0.0001070832,0.00004273227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005934199,"about_ca_system_score_gemma":0.00008855585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1885826,"about_ca_topic_score_gemma":0.7561932,"domain_scores_codex":[0.9985535,0.00001044933,0.0002951841,0.0005129775,0.0002126085,0.0004153342],"domain_scores_gemma":[0.9992456,0.0001204494,0.0001362112,0.0004314319,0.000003607204,0.00006269389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008731268,0.0000402405,0.1478294,0.005045997,0.0008562494,0.0003720247,0.001408849,0.05632516,0.01184704,0.3920308,0.2404776,0.1428935],"study_design_scores_gemma":[0.005946945,0.0003599617,0.1014577,0.002746132,0.0009921265,0.0006499476,0.002520677,0.1333394,0.00114476,0.5445023,0.1977628,0.008577352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5110635,0.0004320694,0.1171352,0.004033419,0.02355999,0.02438218,0.0118239,0.00169629,0.3058734],"genre_scores_gemma":[0.3587208,0.004166421,0.3874789,0.007258303,0.002200917,0.0006602657,0.007332939,0.00256043,0.229621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5676106,"threshold_uncertainty_score":0.9307985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03155663972670144,"score_gpt":0.2232282269271348,"score_spread":0.1916715872004334,"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."}}