{"id":"W2397264751","doi":"10.1177/0340035216637626","title":"The twain shall meet","year":2016,"lang":"en","type":"article","venue":"IFLA Journal","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"National library; National archives; Library science; Political science; World Wide Web; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001285415,0.00005289887,0.0000409454,0.00002407997,0.0005115478,0.0004052258,0.0001690218,0.000002690651,0.0006534329],"category_scores_gemma":[0.00001314777,0.00002095232,0.00006512925,0.000005768488,0.000159255,0.0002389755,0.00002981549,0.00004397382,0.0003188681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001200865,"about_ca_system_score_gemma":0.00001100718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002097031,"about_ca_topic_score_gemma":0.00004342027,"domain_scores_codex":[0.9995143,0.00001879658,0.0001165024,0.00005268858,0.0001538426,0.0001439016],"domain_scores_gemma":[0.9996974,0.0001141711,0.00004658388,0.00006115657,0.00002705936,0.00005363307],"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":[0.000008326345,0.00001664876,0.00001203333,8.134069e-7,0.00002919007,0.00001314918,0.0004575718,2.61334e-7,0.000006962578,0.8529884,0.05666278,0.0898039],"study_design_scores_gemma":[0.0001029491,0.00003004805,0.0008873621,0.00001560802,0.000003447591,0.00001645663,0.00009671672,0.00000136744,0.000004024466,0.3293678,0.6694397,0.00003460879],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01214106,0.00006010431,0.0001315088,0.01471418,0.0006455085,0.00003434027,0.00001628446,0.00001867602,0.9722383],"genre_scores_gemma":[0.9257763,0.00007374935,0.00001531578,0.000399946,0.001209299,0.000002862701,5.74603e-7,0.000005849028,0.07251608],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9136353,"threshold_uncertainty_score":0.7154632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497087424752042,"score_gpt":0.1920253494575835,"score_spread":0.1670544752100631,"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."}}