{"id":"W7117768540","doi":"10.15802/unilib/2025_345396","title":"Canada's Experience in Monetary Appraisal of Archival Documents: Characteristics of Research Sources and Basic Concepts","year":2025,"lang":"uk","type":"article","venue":"UNIVERSITY LIBRARY AT A NEW STAGE OF SOCIAL COMMUNICATIONS DEVELOPMENT CONFERENCE PROCEEDINGS","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Conceptual framework; The Conceptual Framework; Process (computing); Information source (mathematics); Value (mathematics); Source document","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":[],"consensus_categories":[],"category_scores_codex":[0.0001139766,0.000158832,0.000348595,0.0004094737,0.0005299698,0.00008438872,0.001052314,0.00002923191,0.0001529518],"category_scores_gemma":[0.00002675262,0.0001899983,0.00004052893,0.0003029707,0.002005904,0.0008047486,0.002129372,0.0002405663,6.287969e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008435183,"about_ca_system_score_gemma":0.001998712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03087156,"about_ca_topic_score_gemma":0.0126031,"domain_scores_codex":[0.9986488,0.0000638522,0.0004810319,0.0002295728,0.0003519803,0.0002247175],"domain_scores_gemma":[0.9989613,0.000319246,0.0003093511,0.000161587,0.0001776228,0.00007088581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002021542,0.0002287701,0.02305489,0.0007373171,0.0001093915,0.000002339733,0.09130747,1.527901e-7,0.0000502841,0.8779504,0.001211795,0.005145027],"study_design_scores_gemma":[0.0009379184,0.00009697997,0.4674754,0.001003059,0.00003364625,2.454756e-7,0.1119207,0.00007333871,0.0005921025,0.004440471,0.4131231,0.0003030125],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7830055,0.00006528149,0.000006162831,0.00199674,0.00003118464,0.0002576075,0.0003495394,0.000008974464,0.2142791],"genre_scores_gemma":[0.9655231,0.0004385582,0.0007013351,0.00003401765,0.00001107652,0.000002706642,0.0001441754,0.000006456105,0.03313858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8735099,"threshold_uncertainty_score":0.9755819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05139766644152631,"score_gpt":0.2770548980006818,"score_spread":0.2256572315591555,"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."}}