{"id":"W4393317548","doi":"10.33077/uw.25448730.zbkh.2023.819","title":"Preface","year":2024,"lang":"pl","type":"article","venue":"Z Badań nad Książką i Księgozbiorami Historycznymi","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Special collections; Autograph; Value (mathematics); Library science; Politics; Institution; History; Sociology; Art history; Computer science; Law; Political science; Social 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001649192,0.0006967583,0.0006090855,0.0004775868,0.001665176,0.001603098,0.001388523,0.0006886553,0.005924099],"category_scores_gemma":[0.000216918,0.000714214,0.0004997625,0.002271594,0.00166619,0.003869914,0.0001847822,0.0009122054,0.008600602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124204,"about_ca_system_score_gemma":0.003860013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002222215,"about_ca_topic_score_gemma":0.001164293,"domain_scores_codex":[0.9936728,0.0005393082,0.0009254956,0.001685239,0.001722203,0.001454922],"domain_scores_gemma":[0.9975529,0.000352894,0.0002413755,0.0008470452,0.0001469228,0.0008588596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007439424,0.0004216715,0.0007555866,0.0005353483,0.000160403,0.0006080754,0.04644108,0.00002101241,0.003474469,0.121774,0.7621518,0.06358209],"study_design_scores_gemma":[0.0002272326,0.0003229762,0.0005207487,0.0003662002,0.0001240647,0.00001131876,0.003254892,0.0008142347,0.0004814201,0.00253899,0.990406,0.0009319253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08972256,0.07774892,0.001051641,0.05974713,0.05756993,0.00284346,0.000658409,0.003627231,0.7070307],"genre_scores_gemma":[0.7492679,0.001190301,0.0004335049,0.001546607,0.0024912,0.00003030248,0.00006534197,0.00009139998,0.2448834],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6595454,"threshold_uncertainty_score":0.9996345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910912702872693,"score_gpt":0.2975722506488221,"score_spread":0.2684631236200952,"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."}}