{"id":"W6922844570","doi":"10.1371/journal.pdig.0000405.s013","title":"Regression analysis for the temperature and the residential time model for the USA and Canada.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Regression analysis; Linear regression; Time series; Trend analysis; Regression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003059401,0.001548089,0.0009243984,0.001292368,0.0006968317,0.0007417328,0.00247688,0.0005295256,0.0412258],"category_scores_gemma":[0.007656152,0.0005616561,0.002223832,0.002538102,0.0003717092,0.000689714,0.0006548084,0.002360624,0.007272069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01093255,"about_ca_system_score_gemma":0.03400654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9603207,"about_ca_topic_score_gemma":0.958859,"domain_scores_codex":[0.9979932,0.0003519022,0.00005540838,0.0002441573,0.0009644339,0.0003908176],"domain_scores_gemma":[0.9940323,0.0007062467,0.0003050067,0.0002467213,0.004513455,0.0001962039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002996698,0.0001814965,0.02458079,0.0003252193,0.0005016206,0.0000975058,0.0001157131,0.09862988,0.0009872185,0.02489477,0.7355452,0.1138408],"study_design_scores_gemma":[0.0001735938,0.000164779,0.1112437,0.0002850123,0.0006701191,0.00009912236,0.0007239596,0.4917239,0.005516836,0.006723414,0.3824582,0.0002173029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06109646,0.005829267,0.3167182,0.01113631,0.002759008,0.0009204909,0.4580793,0.01018827,0.1332727],"genre_scores_gemma":[0.3455018,0.003969456,0.1190087,0.001336488,0.0003733075,0.0008874487,0.2076745,0.005646307,0.315602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0412258,"threshold_uncertainty_score":0.137914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674920148051036,"score_gpt":0.2134961802720412,"score_spread":0.1967469787915308,"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."}}