{"id":"W6997751733","doi":"","title":"ІВАН ФРАНКО І СТЕФАН КОВАЛІВ: ДО ІСТОРІЇ ВЗАЄМИН ТА СПІВРОБІТНИЦТВА","year":2018,"lang":"en","type":"article","venue":"Scientific periodicals of Ukraine","topic":"Scientific Research and Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Ukrainian; Population; Working class; Natural (archaeology); State (computer science)","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":[0.001730939,0.0004409069,0.0002824038,0.002253806,0.002926795,0.007337628,0.0005484862,0.001209658,0.02274643],"category_scores_gemma":[0.004018277,0.0004591534,0.0003291857,0.002655285,0.004108211,0.002916543,0.001870547,0.002339242,0.008493773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002845146,"about_ca_system_score_gemma":0.003994237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005946346,"about_ca_topic_score_gemma":0.006137208,"domain_scores_codex":[0.9980975,0.0005598074,0.0001087814,0.0003075723,0.0007618485,0.0001646064],"domain_scores_gemma":[0.9988886,0.0004276471,0.0001010345,0.0001853954,0.0002966189,0.000100861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000582031,0.00003901591,0.001322225,0.0003070376,0.00001371067,0.0007257138,0.00984297,0.0004204243,0.001671149,0.8472978,0.0150233,0.1232785],"study_design_scores_gemma":[0.00001070349,0.00002528113,0.002452086,0.000292113,0.00001491323,0.0006548792,0.003053141,0.0003413356,0.002172859,0.06085065,0.9300999,0.00003229755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04096228,0.01830488,0.05315081,0.007910474,0.001900841,0.0002606771,0.0006537392,0.0003959698,0.8764603],"genre_scores_gemma":[0.7416422,0.01843018,0.04395102,0.001083125,0.0008081453,0.0005055426,0.0006214812,0.0006701862,0.192288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02274643,"threshold_uncertainty_score":0.07609445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763892014654204,"score_gpt":0.2864592215562144,"score_spread":0.2688203014096724,"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."}}