{"id":"W4293063896","doi":"10.18372/2415-8151.24.16290","title":"Визначення кількісних і якісних показників доступного житла з урахуванням розміщення в місті","year":2021,"lang":"uk","type":"article","venue":"Teorìâ ta praktika dizajnu/Teorìâ ì praktika dizajnu","topic":"Diverse Scientific Research in Ukraine","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Affordable housing; Subdivision; Business; Settlement (finance); Quality (philosophy); Environmental planning; Quarter (Canadian coin); Typology; Urban planning; Population; Economic growth; Civil engineering; Finance; Geography; Engineering; Economics; Environmental health","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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.01069821,0.005278344,0.004825138,0.001717362,0.004531389,0.005630808,0.01023138,0.003031451,0.1446263],"category_scores_gemma":[0.007835097,0.005570051,0.002965448,0.01048862,0.008217817,0.006438807,0.01364429,0.006337311,0.1005571],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004449871,"about_ca_system_score_gemma":0.00404911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002510149,"about_ca_topic_score_gemma":0.001444067,"domain_scores_codex":[0.9556454,0.005145307,0.005967367,0.01070281,0.01184852,0.01069055],"domain_scores_gemma":[0.9751469,0.002820064,0.002935659,0.0111829,0.001530656,0.006383824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001357292,0.009591748,0.01361534,0.001869165,0.002107984,0.01121726,0.008275413,0.003395934,0.2791592,0.02889075,0.581396,0.0591239],"study_design_scores_gemma":[0.008798236,0.001748627,0.009091689,0.001528288,0.001306736,0.001201206,0.005283781,0.003746644,0.08498977,0.008318998,0.8660673,0.00791865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2571708,0.01914445,0.003082128,0.02982833,0.02443162,0.01081734,0.008607931,0.003795248,0.6431222],"genre_scores_gemma":[0.6650382,0.007344813,0.01869406,0.006491316,0.004166252,0.001056673,0.002845915,0.001709891,0.2926528],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4078675,"threshold_uncertainty_score":0.9993719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744352189249904,"score_gpt":0.2664498039452449,"score_spread":0.2490062820527458,"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."}}