{"id":"W2775579798","doi":"10.3390/su9122246","title":"Sustainable and Resource—Efficient Homes and Communities","year":2017,"lang":"en","type":"article","venue":"Sustainability","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Download; Natural resource; Population; Geography; Garbage; Sustainability; Business; Sociology; Political science; World Wide Web; Engineering; Ecology; Law; Computer science; Demography","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":[],"consensus_categories":[],"category_scores_codex":[0.0007325794,0.0002059287,0.0002391535,0.0001012312,0.00111248,0.0005171672,0.0002686752,0.00008296814,0.00001527253],"category_scores_gemma":[0.0002609617,0.0002013111,0.00003378654,0.00004979902,0.0005253713,0.0002151317,0.0003964458,0.0002191698,5.734525e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004829468,"about_ca_system_score_gemma":0.0001067617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006225797,"about_ca_topic_score_gemma":0.00001731165,"domain_scores_codex":[0.9988492,0.00006952988,0.0001756027,0.0001979458,0.0001412179,0.0005664759],"domain_scores_gemma":[0.9986012,0.0001273549,0.00004374435,0.0008419064,0.0002435972,0.0001422068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002509103,0.0004658367,0.4107948,0.01650355,0.0003268329,0.0006724408,0.03014845,0.02841054,0.0001425755,0.3813453,0.01034606,0.1205927],"study_design_scores_gemma":[0.001986159,0.0002451497,0.3988919,0.00008686433,0.00008576569,0.00004635913,0.3246545,0.05453563,0.0005028282,0.08342654,0.1342496,0.001288705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922319,0.001191386,0.0006230125,0.0009087135,0.00005268442,0.0004702091,0.000002922137,0.0002506927,0.004268476],"genre_scores_gemma":[0.9979145,0.00008800418,0.0001397285,0.0000216753,0.00003512875,0.00004877883,0.000002447774,0.00002726077,0.001722512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2979187,"threshold_uncertainty_score":0.8556412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009344070369303464,"score_gpt":0.2494532513842223,"score_spread":0.2401091810149188,"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."}}