{"id":"W2376027796","doi":"","title":"Analyze Humanization Design of Residential Building——Design Experience of Guangqumen Residential Quarter Project","year":2008,"lang":"en","type":"article","venue":"Building Science","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Humanity; Architectural engineering; Interior design; Engineering; Level design; Soul; Design elements and principles; Computer science; Systems engineering; Human–computer interaction; Geography; Political science","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":[0.001252157,0.0002019521,0.0003107975,0.000691942,0.0003872121,0.000207837,0.002382732,0.00005819098,0.00001078641],"category_scores_gemma":[0.0006562609,0.0001884296,0.00007880733,0.00284558,0.001028229,0.002846702,0.0004327711,0.00009565177,0.000005775191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000066993,"about_ca_system_score_gemma":0.0007057734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001544357,"about_ca_topic_score_gemma":0.000001618479,"domain_scores_codex":[0.996577,0.000133575,0.0006254,0.000749042,0.001394956,0.0005200757],"domain_scores_gemma":[0.9980971,0.0002072747,0.0003984031,0.0007103005,0.0004634886,0.0001234066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005939526,0.0002280894,0.00212374,0.00003468058,0.00001586157,0.00004028625,0.01197348,0.003726685,0.9475764,0.03032352,0.002276934,0.001620931],"study_design_scores_gemma":[0.0004533887,0.0007162141,0.005948054,0.0001542401,0.00001263845,0.00007080883,0.0001941377,0.0523234,0.9365542,0.003082827,0.00008992186,0.0004001862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3444087,0.00003363297,0.6546165,0.00003657133,0.000359704,0.0002866946,8.978647e-7,0.00007012567,0.0001871177],"genre_scores_gemma":[0.8408851,0.0000125751,0.1589184,0.00002389792,0.00005902396,0.00001790603,3.295143e-7,0.000008885219,0.00007386971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4964764,"threshold_uncertainty_score":0.7683935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05750484766981274,"score_gpt":0.3284930093714789,"score_spread":0.2709881617016662,"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."}}