{"id":"W3216191921","doi":"","title":"Analysis on the influences of underground space development on urban residential environment","year":2014,"lang":"en","type":"article","venue":"Journal of chemical and pharmaceutical research","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Quarter (Canadian coin); Urban environment; Architectural engineering; Environmental planning; Space (punctuation); Natural resource; Natural (archaeology); Resource (disambiguation); Living space; Hazard; Built environment; Geography; Business; Environmental science; Civil engineering; Computer science; Engineering; Ecology","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":[0.001660213,0.0001046346,0.0002351434,0.0001647735,0.00007032887,0.00004438053,0.000226951,0.00007213769,0.0001856989],"category_scores_gemma":[0.0003229267,0.00006196253,0.00009533211,0.0002770754,0.0002946602,0.00006099607,0.0000595554,0.0007735072,0.000003453821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370588,"about_ca_system_score_gemma":0.0000418488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002774453,"about_ca_topic_score_gemma":4.382861e-7,"domain_scores_codex":[0.9981996,0.0001863304,0.0003646695,0.0001155053,0.0008673323,0.0002665012],"domain_scores_gemma":[0.9981333,0.001390558,0.00004627329,0.0001360627,0.00009855697,0.000195259],"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":[0.004867857,0.001723572,0.06519398,0.001578119,0.008616281,0.00008453874,0.005703939,0.03054342,0.6218193,0.07278419,0.02221259,0.1648723],"study_design_scores_gemma":[0.001305089,0.0006064565,0.03156876,0.0001156611,0.0003413176,0.00001518366,0.0007081335,0.01350032,0.8309674,0.03287028,0.08762757,0.000373867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957759,0.0001633441,0.0007074845,0.001307971,0.00003260125,0.00006481977,6.577911e-7,0.000004373247,0.001942889],"genre_scores_gemma":[0.9995207,0.00009710842,0.0001439183,0.00007221776,0.00012124,0.000002028726,4.443785e-7,0.000006488116,0.00003585828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2091481,"threshold_uncertainty_score":0.3360547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0414556361714585,"score_gpt":0.3372919714695645,"score_spread":0.295836335298106,"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."}}