{"id":"W2999856403","doi":"","title":"Ottoman Turkish and Çağatay MSS in Canada: A Union Catalogue of the Four Collections","year":2015,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turkish; Ancient history; Library science; Geography; History; Classics; Political science; Linguistics; Computer science; Philosophy","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":[0.0006429587,0.0007226391,0.0008083358,0.01633196,0.00865435,0.004502578,0.00135809,0.0004949346,0.02336784],"category_scores_gemma":[0.001543249,0.0004228514,0.0004570553,0.05099391,0.001555719,0.001015165,0.002276213,0.000571957,0.003545004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03147341,"about_ca_system_score_gemma":0.1087893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919006,"about_ca_topic_score_gemma":0.9976115,"domain_scores_codex":[0.9989488,0.00003163378,0.00008363866,0.000102206,0.0004697437,0.0003640551],"domain_scores_gemma":[0.9981973,0.00008339946,0.0001389199,0.00009332337,0.001162216,0.0003250088],"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":[0.001159357,0.00008676143,0.05769411,0.004546872,0.0002262115,0.002519957,0.07338338,0.0008640806,0.009614768,0.02659396,0.5079182,0.3153924],"study_design_scores_gemma":[0.00001080511,0.00001453016,0.1635547,0.0004430068,0.00007451547,0.0004799956,0.02626194,0.00007395667,0.00087901,0.000217481,0.8079312,0.00005887232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3004975,0.0258,0.001246986,0.002492288,0.0003971838,0.000615076,0.394702,0.0008808915,0.2733681],"genre_scores_gemma":[0.5127649,0.02594208,0.008179499,0.0005506788,0.0001080617,0.0003631747,0.2187882,0.001058956,0.2322445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03147341,"threshold_uncertainty_score":0.2283567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02180912766699556,"score_gpt":0.1484389317243745,"score_spread":0.126629804057379,"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."}}