{"id":"W4200394441","doi":"10.31734/architecture2021.22.197-203","title":"DETAILS OF DEFINING THE COEFFICIENT, WHICH CONSIDERS THE DISTANCE OF CADASTRAL QUARTER FROM THE SETTLEMENTS IN THE PROCESS OF CONDUCTING THE NORMATIVE EVALUATION OF NON-AGRICULTURAL LANDS OUTSIDE SETTLEMENTS","year":2021,"lang":"en","type":"article","venue":"Bulletin of Lviv National Environmental University Series Architecture and construction","topic":"Environmental Sustainability and Technology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human settlement; Cadastre; Normative; Quarter (Canadian coin); Agriculture; Settlement (finance); Process (computing); Geography; Archaeology; Business; Political science; Computer science; Cartography; Law; Finance","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":[0.000566795,0.0001000174,0.0001356807,0.00001671019,0.0002166245,0.000005437074,0.0002480595,0.0000452096,0.0002323787],"category_scores_gemma":[0.0000749191,0.00005179602,0.00005020433,0.0001791438,0.001858612,0.00005997104,0.0001534144,0.0001727262,5.769488e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009664147,"about_ca_system_score_gemma":0.00002915482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003525533,"about_ca_topic_score_gemma":0.0005452071,"domain_scores_codex":[0.9985287,0.000339922,0.0002768495,0.0001539542,0.000598948,0.0001016575],"domain_scores_gemma":[0.999067,0.00034367,0.0003955516,0.0001521354,0.00003180309,0.000009844071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004823848,0.000456021,0.8557107,0.0001112975,0.0003509551,0.000002356908,0.05064525,0.05851722,0.02008903,0.004614096,0.0003243384,0.008696355],"study_design_scores_gemma":[0.0009422589,0.0001127594,0.6656569,0.00003878499,0.0001451332,0.00003480717,0.3158481,0.0002516434,0.0145447,0.001669275,0.0006588197,0.00009683391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938876,0.00006438269,0.0001044795,0.004666801,0.00002223971,0.0003607983,0.0002800423,0.000001437658,0.000612231],"genre_scores_gemma":[0.9996413,0.00002055093,0.0002138044,0.00004873259,0.000004346335,0.000003934931,0.00005416608,0.000002266502,0.00001088515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2652029,"threshold_uncertainty_score":0.6848133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006126974659340182,"score_gpt":0.2005347239219345,"score_spread":0.1944077492625944,"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."}}