{"id":"W4406740639","doi":"10.18357/kula.292","title":"Paying It Forward","year":2025,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Museum and Library Services","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.009695387,0.0007092171,0.000614298,0.001433831,0.01215519,0.01993548,0.002067204,0.007690583,0.06641017],"category_scores_gemma":[0.03502791,0.0003455356,0.0006568318,0.001509961,0.01261157,0.021655,0.01491716,0.01432402,0.02843167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004671237,"about_ca_system_score_gemma":0.01301122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005658024,"about_ca_topic_score_gemma":0.009103471,"domain_scores_codex":[0.9884121,0.004173098,0.0004325099,0.001632499,0.003178759,0.002170989],"domain_scores_gemma":[0.981738,0.003302095,0.001122107,0.003727074,0.004782943,0.005327656],"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":[0.00008393483,0.0000834548,0.002342453,0.0001874539,0.00002618692,0.0007734795,0.0458975,0.00008135623,0.0005356504,0.3135203,0.5212389,0.1152294],"study_design_scores_gemma":[0.000004709933,0.00002338124,0.0003480402,0.0001636535,0.000006415124,0.0002178178,0.01621239,0.00003313613,0.0001033192,0.02215647,0.9607151,0.00001556447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01475947,0.005263215,0.01152654,0.4129897,0.03521335,0.0001805629,0.0002881901,0.0006772703,0.5191017],"genre_scores_gemma":[0.2199498,0.004732942,0.008103329,0.1778611,0.007450975,0.0002340013,0.000412788,0.001195087,0.5800599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06641017,"threshold_uncertainty_score":0.2221642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06215278223907967,"score_gpt":0.3466643494349353,"score_spread":0.2845115671958556,"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."}}