{"id":"W6980128727","doi":"","title":"Back to the Future! Library History as Forecast: Discovering Core Concepts of Librarianship in the Public Library’s Past","year":2021,"lang":"en","type":"article","venue":"Scholar Commons (University of South Carolina)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Manifesto; Mandate; Democracy; Context (archaeology); Library history; Legislation; Prosperity","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":[0.005561796,0.0004001044,0.0005750094,0.005972228,0.01143372,0.02527265,0.001122389,0.003690341,0.01313167],"category_scores_gemma":[0.01171736,0.0004686782,0.0003822223,0.008746335,0.03838305,0.06494346,0.007295913,0.00729594,0.00229773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01572154,"about_ca_system_score_gemma":0.01207625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01900828,"about_ca_topic_score_gemma":0.02448425,"domain_scores_codex":[0.9969009,0.001654914,0.00009779462,0.0002915337,0.0006210368,0.0004337502],"domain_scores_gemma":[0.9906642,0.004976064,0.0006160619,0.0008848617,0.001529531,0.001329114],"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":[0.00003147696,0.00003448941,0.002329152,0.0002190096,0.000008758761,0.0000861661,0.06252528,0.0001415783,0.00008813111,0.8526189,0.03903496,0.04288205],"study_design_scores_gemma":[0.000006428716,0.00001884676,0.002591089,0.001067047,0.00001000222,0.000110948,0.08082227,0.0001755043,0.0001594617,0.4300192,0.4849873,0.0000318583],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06513936,0.08151492,0.01433568,0.3323559,0.004232347,0.00007143746,0.0007663997,0.0001941614,0.5013898],"genre_scores_gemma":[0.8648154,0.03961915,0.005454636,0.03268281,0.00257451,0.0001036457,0.0004858977,0.0002867262,0.05397736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02527265,"threshold_uncertainty_score":0.1140683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07268275849734261,"score_gpt":0.259808173484913,"score_spread":0.1871254149875704,"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."}}