{"id":"W4392042784","doi":"10.32920/25262788.v1","title":"PHIUS vs. PHI Through the Lens of Multi-unit Residential Buildings Across Canadian Climates","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Unit (ring theory); Lens (geology); Architectural engineering; Geography; Environmental science; Engineering; Psychology; Optics; Physics; Mathematics education","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":[0.0007187736,0.0006430311,0.0003944805,0.003255722,0.006755828,0.007318689,0.001774242,0.0006071146,0.006834822],"category_scores_gemma":[0.001974319,0.0003415708,0.0006724973,0.007656985,0.003934421,0.001810775,0.002596561,0.001361833,0.0002570655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07081984,"about_ca_system_score_gemma":0.03035323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954904,"about_ca_topic_score_gemma":0.9979405,"domain_scores_codex":[0.9989323,0.0001685234,0.00002471158,0.0001403838,0.0003262198,0.0004078608],"domain_scores_gemma":[0.998983,0.0001669153,0.00008415536,0.00007300661,0.0004852816,0.0002076552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003602974,0.0001282393,0.1772304,0.0006888007,0.0002055764,0.001791573,0.08015563,0.0504314,0.004348828,0.50932,0.02616159,0.1491775],"study_design_scores_gemma":[0.00002311864,0.00008850362,0.4399419,0.0004963762,0.0001917055,0.0004251071,0.2258703,0.03748114,0.0008306059,0.02749736,0.2669495,0.0002044588],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5747153,0.003644221,0.0126927,0.006677413,0.0001429512,0.000143362,0.003800327,0.0002791164,0.3979046],"genre_scores_gemma":[0.9862721,0.001269651,0.004006405,0.0001592976,0.00001149881,0.00003069791,0.0003201136,0.0000526609,0.007877533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07081984,"threshold_uncertainty_score":0.5138363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02720129390343511,"score_gpt":0.2696899031598395,"score_spread":0.2424886092564044,"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."}}