{"id":"W4388069176","doi":"10.4095/332286","title":"Characterizing building footprints for heat load modelling in remote communities","year":2023,"lang":"en","type":"report","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Heat load; Architectural engineering; Environmental science; Geography; Computer science; Engineering; Physics","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":[0.0003029157,0.0006559804,0.0005963177,0.0005087417,0.0005098733,0.0006664447,0.0007479831,0.0007906088,0.002863924],"category_scores_gemma":[0.0009392474,0.0003439435,0.0007232492,0.0009947205,0.0002453667,0.0008738805,0.0004857132,0.0005054069,0.0006357969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006235098,"about_ca_system_score_gemma":0.0005915412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05336274,"about_ca_topic_score_gemma":0.0654798,"domain_scores_codex":[0.9998042,0.00005348356,0.000005499504,0.00003493406,0.00006549613,0.00003632121],"domain_scores_gemma":[0.9995714,0.0001926581,0.00001837917,0.00008410942,0.00009468407,0.0000388011],"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":[0.0001261497,0.0002246401,0.01039687,0.00004695117,0.00002366502,0.00003952384,0.00007033366,0.9685177,0.004338734,0.0005621572,0.0005316303,0.0151216],"study_design_scores_gemma":[0.000007074437,0.00002802518,0.004046344,0.000003338341,0.000004989274,0.000009712103,0.00005497959,0.9933309,0.001919338,0.0003350158,0.000252653,0.000007611161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.939201,0.00006069519,0.04859217,0.00005886276,0.00001001848,0.0001044397,0.002281904,0.0005265157,0.009164509],"genre_scores_gemma":[0.9895271,0.00003247083,0.007985828,0.000004167832,0.000003262987,0.00005030581,0.001262908,0.00009118993,0.001042768],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05336274,"threshold_uncertainty_score":0.1061043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1102445906193092,"score_gpt":0.2982246659634868,"score_spread":0.1879800753441777,"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."}}