{"id":"W4239391680","doi":"10.1163/9789004337862__com_200582","title":"Toronto","year":2020,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004838472,0.001928442,0.001238026,0.00453183,0.001320001,0.003567403,0.001275714,0.001137108,0.3191414],"category_scores_gemma":[0.004279084,0.0007975823,0.0006693696,0.009014838,0.0004383672,0.001367195,0.001794219,0.001140119,0.4257413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002081601,"about_ca_system_score_gemma":0.003454832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1350607,"about_ca_topic_score_gemma":0.2535506,"domain_scores_codex":[0.9991622,0.00008328494,0.00005105814,0.000329756,0.0002357029,0.0001379431],"domain_scores_gemma":[0.9977688,0.0003657276,0.0001680224,0.0006365863,0.0007025781,0.0003582284],"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":[0.00004239312,0.000006355679,0.0003519273,0.0001754469,0.000007687425,0.00001267952,0.00001763557,0.0001163446,0.00009408196,0.0004738475,0.9917128,0.006988912],"study_design_scores_gemma":[0.00002483116,0.000006557976,0.001749267,0.0000972792,0.000008746682,0.00001843397,0.00005082802,0.0001615208,0.0001864174,0.0005503338,0.9971348,0.00001091449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000286801,0.0002797015,0.0001574608,0.0001374402,0.00006828154,0.00001360944,0.9799078,0.001160419,0.01798864],"genre_scores_gemma":[0.001371789,0.0003632085,0.0003936264,0.0001086123,0.00002513288,0.00003780534,0.9664437,0.0003671666,0.03088894],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8649393,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04837432041340034,"score_gpt":0.3186301577462866,"score_spread":0.2702558373328863,"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."}}