{"id":"W4396831004","doi":"10.1007/s12273-024-1126-5","title":"Developing biophilic intermediate spaces for Arctic housing: Optimizing the thermal, visual, and energy performance","year":2024,"lang":"en","type":"article","venue":"Building Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Thermal; Arctic; Energy (signal processing); Architectural engineering; The arctic; Materials science; Environmental science; Environmental economics; Business; Engineering; Geography; Economics; Physics; Geology; Meteorology","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":[0.0003628458,0.0006988661,0.0005818362,0.0003683876,0.0006521794,0.001367143,0.0006798999,0.0007678326,0.003021729],"category_scores_gemma":[0.0005579332,0.0002898802,0.0006279605,0.0002819822,0.0003415126,0.0005954252,0.0008275227,0.0006211883,0.0005302014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007169351,"about_ca_system_score_gemma":0.001104129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007534632,"about_ca_topic_score_gemma":0.01149757,"domain_scores_codex":[0.9998441,0.00004398711,0.000004317573,0.00002084723,0.00004209072,0.00004465851],"domain_scores_gemma":[0.9997998,0.00007593956,0.00001809215,0.00002075913,0.00004599246,0.00003943068],"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":[0.00008063697,0.0001042018,0.0008996627,0.00003925781,0.00001011908,0.00005339587,0.00003959641,0.9829476,0.007615257,0.001195958,0.0001850388,0.006829254],"study_design_scores_gemma":[0.00001196382,0.0001328783,0.0003733862,0.00001134467,0.000009842539,0.00001503374,0.00006851318,0.9911724,0.00673255,0.0006300935,0.0008331246,0.000008844665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6851083,0.0003444998,0.2895312,0.0001834697,0.00009847697,0.0001380483,0.0003320199,0.0004840319,0.02377998],"genre_scores_gemma":[0.9426284,0.0001920934,0.05412436,0.00002337946,0.000007434957,0.00008673619,0.0001799165,0.00006453984,0.002693101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007534632,"threshold_uncertainty_score":0.01498151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743088608766413,"score_gpt":0.2601817471085819,"score_spread":0.2427508610209178,"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."}}