{"id":"W2947311595","doi":"10.5206/elip.v2i1.6207","title":"Navigating the Archives","year":2019,"lang":"en","type":"article","venue":"Emerging Library & Information Perspectives","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006299336,0.0005674022,0.0004624572,0.002050179,0.029814,0.02171651,0.002406279,0.002374103,0.04957241],"category_scores_gemma":[0.01291583,0.0005770788,0.0004985133,0.003420437,0.007352989,0.01364047,0.02070192,0.005829376,0.01166825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005272308,"about_ca_system_score_gemma":0.01934125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02064695,"about_ca_topic_score_gemma":0.08545327,"domain_scores_codex":[0.9950123,0.002423651,0.000187533,0.0006217373,0.001087584,0.0006671146],"domain_scores_gemma":[0.9913684,0.001243474,0.0006092587,0.001000977,0.001247901,0.004530123],"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":[0.0001179003,0.0001421713,0.009575727,0.0004161694,0.00003672782,0.002429021,0.226328,0.0006049259,0.001277611,0.09771396,0.4179755,0.2433823],"study_design_scores_gemma":[0.000003012054,0.00001820643,0.0008658441,0.000194761,0.000005260078,0.0003537998,0.05683811,0.00006882352,0.0001935924,0.006188216,0.9352531,0.00001717589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1114375,0.008296903,0.0233571,0.09152998,0.006026184,0.0004269132,0.001453624,0.002917544,0.7545543],"genre_scores_gemma":[0.4775153,0.007905253,0.07227568,0.00689185,0.001233728,0.0003565184,0.001375615,0.002707336,0.4297387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04957241,"threshold_uncertainty_score":0.1658362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218347737843835,"score_gpt":0.2136454038099385,"score_spread":0.2014619264315002,"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."}}