{"id":"W3030328969","doi":"10.1007/978-3-030-47016-6_7","title":"Residential, Low-Density Neighborhoods","year":2020,"lang":"en","type":"book-chapter","venue":"Green energy and technology","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Flexibility (engineering); Architectural engineering; Scale (ratio); Computer science; Environmental science; Geography; Engineering; Mathematics; Cartography; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00002127111,0.0002757782,0.0003145217,0.000266863,0.0000751794,0.00001511027,0.0001850603,0.0009782315,0.00008858102],"category_scores_gemma":[0.000003942476,0.0003075105,0.0000492091,0.00008750218,0.0001151729,0.00004757836,0.0001316276,0.0003231007,0.00000679671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002429881,"about_ca_system_score_gemma":0.000016029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003977164,"about_ca_topic_score_gemma":0.0001876891,"domain_scores_codex":[0.9992427,0.000003470353,0.0001972731,0.0002956866,0.00008881581,0.0001720101],"domain_scores_gemma":[0.9995565,0.0000105401,0.00005128417,0.0002909607,0.00003214685,0.00005859189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006005363,0.000002502228,0.000009219141,0.00004243538,0.0001256845,0.00005918309,0.000004475486,0.002508821,0.00009572327,0.9723639,0.002844751,0.02193733],"study_design_scores_gemma":[0.0004059673,0.0001129778,0.00001036742,0.0001794513,0.0001514645,0.0001055005,0.000003842772,0.01985642,0.00390919,0.5105118,0.4637426,0.00101037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0006510525,0.01027357,0.1069259,0.003930572,0.00153015,0.0002004781,0.00004973009,0.007303467,0.869135],"genre_scores_gemma":[0.5959589,0.01109852,0.003561811,0.001034445,0.001134444,0.00005049308,0.0004091011,0.00054018,0.3862121],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5953078,"threshold_uncertainty_score":0.9999377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004970034644310646,"score_gpt":0.1602328178635327,"score_spread":0.1552627832192221,"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."}}