{"id":"W3169532804","doi":"10.15407/ugz2021.02.041","title":"LOCAL ECONETWORK of VINNYTSIA CITY","year":2021,"lang":"en","type":"article","venue":"Ukrainian geographical journal","topic":"Diverse Scientific Research in Ukraine","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Saint Vincent University","funders":"","keywords":"Geography; Key (lock); Vegetation (pathology); Forestry; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001715439,0.0001533927,0.0002570637,0.0001182284,0.0002657845,0.000122821,0.0005823991,0.0001191602,0.03576008],"category_scores_gemma":[0.0002847973,0.0001338938,0.0003018986,0.001329127,0.001615682,0.0002294971,0.0004849737,0.00068401,0.0003371199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007392568,"about_ca_system_score_gemma":0.00006547203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003216454,"about_ca_topic_score_gemma":0.00005705748,"domain_scores_codex":[0.9970584,0.0002565122,0.0004709301,0.0003852392,0.001192333,0.0006366146],"domain_scores_gemma":[0.9985753,0.0001310749,0.0001545002,0.0004078398,0.00008688748,0.0006444516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003063091,0.002076738,0.4265907,0.00005452947,0.0005468121,0.004070046,0.006908043,0.01088133,0.01683029,0.002012172,0.06089509,0.4688279],"study_design_scores_gemma":[0.002361381,0.0005012414,0.2685295,0.0001145846,0.00007214054,0.0020212,0.0009907725,0.006419814,0.003867705,0.01106777,0.7032637,0.0007902006],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9302613,0.0001767316,0.002664279,0.002542359,0.0008308889,0.0001146102,0.00002375561,0.00003217643,0.06335395],"genre_scores_gemma":[0.9959565,0.000100326,0.002781885,0.0003353921,0.0001225452,0.000001474949,0.000004904035,0.00001194953,0.0006850027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6423686,"threshold_uncertainty_score":0.9651214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428930965760869,"score_gpt":0.2490162400725402,"score_spread":0.2347269304149315,"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."}}