{"id":"W4399059463","doi":"10.36273/2076-9555.2023.6(323).20-29","title":"Bibliographical and historical researches of the Book Chamber of Ukraine","year":2023,"lang":"en","type":"article","venue":"Вісник Книжкової палати","topic":"Library Science and Information","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Plan (archaeology); Quarter (Canadian coin); Library science; Bibliography; Political science; History; 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":[0.001703645,0.0001815654,0.0004110276,0.01191688,0.004211195,0.00675427,0.0004147033,0.0003305877,0.009821579],"category_scores_gemma":[0.00552417,0.0002261787,0.0001925461,0.02751428,0.002488542,0.003162258,0.001643988,0.0008205324,0.002012233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007973547,"about_ca_system_score_gemma":0.006888327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02197654,"about_ca_topic_score_gemma":0.02298982,"domain_scores_codex":[0.9978922,0.0007757755,0.0002063018,0.0002622044,0.0006959905,0.0001675581],"domain_scores_gemma":[0.9965032,0.001127323,0.0005946055,0.0004348103,0.001157175,0.0001829558],"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":[0.00008588516,0.00003466046,0.009370822,0.002285996,0.00003965096,0.0009262427,0.08020406,0.000382321,0.001440118,0.4726639,0.1902592,0.242307],"study_design_scores_gemma":[4.186798e-7,0.000006559749,0.007066119,0.0003416877,0.000004134421,0.0001347416,0.00234617,0.0000325007,0.0002105103,0.00108566,0.9887661,0.000005272742],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07062525,0.2573516,0.00224011,0.008792124,0.003575176,0.00007884005,0.003311482,0.000302362,0.6537231],"genre_scores_gemma":[0.5132457,0.2183854,0.002759216,0.001370479,0.002008345,0.0001075104,0.00383827,0.0004065192,0.2578785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02197654,"threshold_uncertainty_score":0.05785245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04413351348877814,"score_gpt":0.2454332967575127,"score_spread":0.2012997832687345,"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."}}