{"id":"W2360010757","doi":"","title":"About “Four High”Residential Quarter Planning of Baoshan Gucun Town Area","year":2004,"lang":"en","type":"article","venue":"Jiangsu Construction","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001478242,0.0001318314,0.00007557721,0.0004052515,0.00196934,0.0003837985,0.0002064922,0.0002405795,0.009472783],"category_scores_gemma":[0.000203497,0.0001332791,0.00008049994,0.0009014923,0.0002417313,0.0003004888,0.0002215443,0.0002094445,0.0003155458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319262,"about_ca_system_score_gemma":0.001130622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07435318,"about_ca_topic_score_gemma":0.2981171,"domain_scores_codex":[0.9999161,0.00002719722,0.000004013867,0.00001244422,0.00001553394,0.00002478381],"domain_scores_gemma":[0.9999241,0.000009319279,0.000009060084,0.000005486328,0.00002886302,0.00002320174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005430098,0.0003084105,0.4323989,0.0008002297,0.00005116756,0.005864229,0.05585814,0.003926013,0.01481941,0.01964948,0.1431853,0.3225957],"study_design_scores_gemma":[0.00001165154,0.0001207313,0.6688383,0.00007155141,0.00002747219,0.0005556649,0.08489501,0.001307262,0.001071378,0.001002442,0.2420669,0.0000315219],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490163,0.0005069107,0.0005666431,0.002326822,0.0001195746,0.00004837891,0.0004137478,0.00003055174,0.04697095],"genre_scores_gemma":[0.9751658,0.0003582912,0.0009121647,0.0002065134,0.00003554617,0.00002577672,0.0004728806,0.000007595173,0.02281544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07435318,"threshold_uncertainty_score":0.1478408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918272684807202,"score_gpt":0.2461956516062739,"score_spread":0.2270129247582019,"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."}}