{"id":"W7052559521","doi":"","title":"Revising ASHRAE climatic data for design and standards - Part 1: Overview and data","year":2013,"lang":"en","type":"article","venue":"NPARC","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"ASHRAE 90.1; Precipitation; Bin; Climate change; Air temperature; Wind speed","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01792664,0.001347346,0.001620377,0.005935569,0.001088276,0.004753776,0.003623734,0.001752475,0.03970145],"category_scores_gemma":[0.028734,0.001604188,0.001293291,0.00637522,0.0005975626,0.004832156,0.001991547,0.003841124,0.06931189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003773723,"about_ca_system_score_gemma":0.009280416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02774168,"about_ca_topic_score_gemma":0.02435249,"domain_scores_codex":[0.9778262,0.003284315,0.003515725,0.001253657,0.01343853,0.0006814657],"domain_scores_gemma":[0.9383395,0.005614634,0.003300648,0.01205544,0.03956066,0.001129168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000233271,0.0002084554,0.003873379,0.0007694489,0.00004142151,0.0001043356,0.000347106,0.006662668,0.00593639,0.009426316,0.7966076,0.1757897],"study_design_scores_gemma":[0.00003849454,0.00003951569,0.00321177,0.0001612121,0.00001324502,0.00004911526,0.00005836365,0.002163319,0.003334612,0.001380636,0.9894901,0.00005975357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.01148536,0.002269966,0.3096961,0.005173759,0.004340125,0.002993711,0.424538,0.06826862,0.1712344],"genre_scores_gemma":[0.02765268,0.002150381,0.2900428,0.001993835,0.0008883307,0.003281655,0.5651017,0.02047937,0.08840932],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03970145,"threshold_uncertainty_score":0.1328146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1105660434508241,"score_gpt":0.322004795778439,"score_spread":0.2114387523276149,"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."}}