{"id":"W4229610490","doi":"10.1163/9789004337862_lgbo_com_200582","title":"Toronto","year":2017,"lang":"de","type":"dataset","venue":"Lexikon des gesamten Buchwesens Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0004348885,0.002209365,0.001378531,0.004389578,0.001264802,0.00298899,0.001545365,0.001226324,0.2014735],"category_scores_gemma":[0.003918272,0.0007600301,0.0007242775,0.007661853,0.000493407,0.001300371,0.001619886,0.001258267,0.3060133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001858012,"about_ca_system_score_gemma":0.00315813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1176987,"about_ca_topic_score_gemma":0.2328325,"domain_scores_codex":[0.999176,0.00008748291,0.00004586538,0.0003164509,0.0002265184,0.0001476124],"domain_scores_gemma":[0.9980654,0.0003320855,0.0001421226,0.0005931304,0.000540644,0.000326597],"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":[0.00004880641,0.000009576334,0.0004482538,0.0001604804,0.000008987457,0.00001522918,0.00001662353,0.000139653,0.00009072889,0.0003593544,0.9930072,0.005695099],"study_design_scores_gemma":[0.00004599874,0.00001126526,0.002724153,0.0001124322,0.0000141183,0.00003459121,0.00007403023,0.0003527456,0.0003306282,0.0007263426,0.9955571,0.00001658765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000499321,0.0002699147,0.0001607491,0.0001226354,0.00005681748,0.00001508045,0.9867334,0.001265226,0.01087676],"genre_scores_gemma":[0.001377645,0.0002386312,0.0003057188,0.000066015,0.00001806909,0.00003108832,0.983574,0.0002478084,0.01414106],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2014735,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05701540372365074,"score_gpt":0.3727204972209935,"score_spread":0.3157050934973428,"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."}}