{"id":"W4416742652","doi":"10.32782/bses.94-17","title":"FEATURES OF TIME MANAGEMENT IN THE LAND RESOURCES MANAGEMENT SYSTEM","year":2025,"lang":"","type":"article","venue":"Black Sea Economic Studies","topic":"Land Use and Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Land management; Process (computing); Management system; Relevance (law); Land use; Resource management (computing); Distribution (mathematics); Duration (music)","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":[0.001804917,0.0002974487,0.0006323424,0.0003217619,0.0004381369,0.0001340687,0.0008999791,0.00007694773,0.00005414626],"category_scores_gemma":[0.000009618376,0.0002118763,0.0001789958,0.0003755077,0.0004643654,0.0001078691,0.0007575666,0.0001123235,0.0002423059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004752086,"about_ca_system_score_gemma":0.0000251078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009474573,"about_ca_topic_score_gemma":0.00189597,"domain_scores_codex":[0.9976619,0.0003583997,0.0006864144,0.0005341446,0.0002560017,0.0005030871],"domain_scores_gemma":[0.9988921,0.0002537411,0.0002604205,0.000529569,0.00003038902,0.0000338041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002581327,0.0003599183,0.01199706,0.006022002,0.009733548,0.0001223858,0.08073782,0.001178629,2.43168e-7,0.4740785,0.3796844,0.03582739],"study_design_scores_gemma":[0.002141425,0.0000885362,0.09119918,0.001410896,0.001223049,4.881703e-7,0.4647619,0.0001899254,0.000007660065,0.004392655,0.4341215,0.0004627227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1046845,0.008545304,0.000005161656,0.004604019,0.0009145199,0.001802235,0.00002213681,0.00003803922,0.879384],"genre_scores_gemma":[0.927131,0.02972873,0.00005443548,0.0004630535,0.0002080956,0.000157698,0.000003203147,0.00001264962,0.04224113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8371429,"threshold_uncertainty_score":0.8640066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638352207663504,"score_gpt":0.2812945333953389,"score_spread":0.2649110113187039,"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."}}