{"id":"W2965787201","doi":"10.29173/cais901","title":"Making Time for the Past: Historical Scholarship in the Information School","year":2016,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scholarship; Sociology; Humanities; Information science; Library science; Art; Political science; 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":[0.01224998,0.0003835981,0.0005634556,0.01115166,0.02436584,0.02903055,0.001926222,0.003774703,0.01482502],"category_scores_gemma":[0.02069943,0.0003982288,0.0003272341,0.01214768,0.05801426,0.03335518,0.009633712,0.005912851,0.001264773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02146222,"about_ca_system_score_gemma":0.0122921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01725573,"about_ca_topic_score_gemma":0.0350375,"domain_scores_codex":[0.9922457,0.005274181,0.000321613,0.000575648,0.0007957402,0.0007871764],"domain_scores_gemma":[0.9786223,0.01467654,0.00144187,0.001955214,0.001069734,0.002234441],"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":[0.00002264527,0.00004274323,0.001518386,0.000121045,0.000005419524,0.0001538569,0.2017776,0.00008238517,0.00003445521,0.7639699,0.007137071,0.0251346],"study_design_scores_gemma":[0.00001267392,0.00003511289,0.00275897,0.001304768,0.00002006848,0.0002042459,0.2700242,0.0002225767,0.000292451,0.2024871,0.5226131,0.00002485388],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1023857,0.09736235,0.005582891,0.1228915,0.001787317,0.00004308456,0.0001407391,0.0001139238,0.6696925],"genre_scores_gemma":[0.9293114,0.02808675,0.001456945,0.003055409,0.001439268,0.00003873247,0.00006406591,0.00009338564,0.03645404],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02903055,"threshold_uncertainty_score":0.1557201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04621750504969404,"score_gpt":0.2410882887981394,"score_spread":0.1948707837484454,"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."}}