{"id":"W2279587331","doi":"","title":"FEATURES SPORTING GOODS MARKET IN DNEPROPETROVSK","year":2015,"lang":"en","type":"article","venue":"Institutional Repository National Mining University of Ukraine (National Mining University of Ukraine)","topic":"Diverse Scientific Research in Ukraine","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commerce; Business; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001530045,0.000161852,0.0001818599,0.0008863279,0.0008589555,0.001747075,0.0003476667,0.0003219963,0.02008987],"category_scores_gemma":[0.0001663597,0.0001412496,0.0001738456,0.0008952262,0.0003526497,0.000798089,0.0009064189,0.0004352599,0.003643622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205663,"about_ca_system_score_gemma":0.001360942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01218778,"about_ca_topic_score_gemma":0.01729948,"domain_scores_codex":[0.9998214,0.00001219679,0.00001011416,0.00003875302,0.00006293015,0.00005459427],"domain_scores_gemma":[0.9998901,0.00001253573,0.0000279102,0.000004540474,0.0000186481,0.0000463241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001276816,0.001228131,0.523016,0.001923129,0.000088774,0.01665733,0.009486604,0.002122877,0.02121695,0.0396852,0.1158383,0.2674599],"study_design_scores_gemma":[0.00003205663,0.0002247532,0.6054915,0.000275841,0.00002248038,0.004041059,0.0113719,0.001064828,0.001752155,0.001469133,0.3742082,0.00004611099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8553222,0.004046544,0.0006006512,0.001187384,0.0001689576,0.0001113479,0.004873195,0.0001497134,0.1335401],"genre_scores_gemma":[0.9259009,0.002095238,0.0005173019,0.0004165002,0.0000635772,0.00003416648,0.003575974,0.00004226311,0.067354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02008987,"threshold_uncertainty_score":0.06720728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03098913924038273,"score_gpt":0.2391852576973555,"score_spread":0.2081961184569728,"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."}}