{"id":"W2365460556","doi":"","title":"Landscape and Buildings in Residential Quarter","year":2004,"lang":"en","type":"article","venue":"Jiangsu Construction","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Architectural engineering; Geography; Civil engineering; Environmental science; Engineering; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001345003,0.00003412768,0.00004827365,0.0000872735,0.0001500185,0.00006996345,0.00003090289,0.00005607757,0.0001128613],"category_scores_gemma":[0.00004422032,0.00003772547,0.000009917445,0.0001986908,0.00009638788,0.0002130245,0.000006420897,0.00005572388,0.00001319786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003399176,"about_ca_system_score_gemma":0.00004453531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001003292,"about_ca_topic_score_gemma":0.001838711,"domain_scores_codex":[0.9995911,0.00002657343,0.00008031332,0.00009608571,0.0001051517,0.0001008226],"domain_scores_gemma":[0.9998698,0.0000102155,0.00002966113,0.00003059672,0.00002260924,0.0000371206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000240463,0.00002461704,0.6010724,0.000009140772,0.00000879253,0.00001321553,0.02916108,0.00005175469,0.0006760876,0.3573203,0.001979104,0.009659491],"study_design_scores_gemma":[0.005943626,0.0001238657,0.6610591,0.0002370918,0.00004978653,0.0001282265,0.1143468,0.0001234711,0.001117767,0.06717347,0.1487899,0.0009069617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788876,0.00003993907,0.0006320372,0.002344281,0.0002543504,0.00006388553,7.2846e-7,0.00004844184,0.01772871],"genre_scores_gemma":[0.9986404,0.00002026841,0.0009587518,0.00009543167,0.0001289333,0.000001667921,0.000001874646,0.000002498538,0.0001501732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2901468,"threshold_uncertainty_score":0.15384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007569162360895249,"score_gpt":0.2488673724471069,"score_spread":0.2412982100862116,"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."}}