{"id":"W2891054079","doi":"10.31618/vadnd.v1i13.138","title":"EXPERIENCE OF ADVANCED COUNTRIES IN APPLICATION OF PRE-TRIAL SETTLEMENT IN CONSTRUCTION","year":2018,"lang":"en","type":"article","venue":"UKRAINIAN ASSEMBLY OF DOCTORS OF SCIENCES IN PUBLIC ADMINISTRATION","topic":"Land Use and Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Ukrainian; Settlement (finance); Context (archaeology); Legislation; State (computer science); Political science; Order (exchange); Decentralization; Politics; Public administration; Law and economics; Law; Business; Sociology; Computer science; Finance; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01316567,0.0006096067,0.0006507393,0.001398688,0.006606793,0.004879785,0.001406325,0.0026888,0.007614242],"category_scores_gemma":[0.009514582,0.0006515839,0.0006619993,0.002380637,0.007651368,0.003669192,0.008351232,0.003479661,0.001484875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834411,"about_ca_system_score_gemma":0.002754088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001703464,"about_ca_topic_score_gemma":0.002838581,"domain_scores_codex":[0.9884118,0.007806083,0.0006019916,0.000613289,0.001071166,0.001495654],"domain_scores_gemma":[0.9930495,0.002789793,0.0005948664,0.001274777,0.0008793605,0.001411665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006620188,0.001031097,0.03520463,0.001218988,0.00006586732,0.01679987,0.6432888,0.006006401,0.003750695,0.1181109,0.01642172,0.1574391],"study_design_scores_gemma":[0.0000514921,0.001179434,0.02053272,0.0005128958,0.00003099967,0.006835258,0.3021635,0.001618529,0.003135447,0.009689287,0.6541018,0.0001486564],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8838963,0.0041218,0.01181903,0.003238229,0.0003630134,0.0001555102,0.0001055111,0.00009762438,0.09620293],"genre_scores_gemma":[0.9817981,0.001557532,0.003211884,0.0004105042,0.00004873001,0.00004343277,0.00006580287,0.00004701104,0.01281711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01316567,"threshold_uncertainty_score":0.06962752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02520117777321148,"score_gpt":0.3617760575454981,"score_spread":0.3365748797722866,"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."}}