{"id":"W2522645027","doi":"","title":"A Toronto ostracon with a list of monosyllables (2718 Pack2): re-edition with commentary","year":2005,"lang":"de","type":"article","venue":"","topic":"Narrative Theory and Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000231371,0.0003221339,0.000473857,0.00006559188,0.0004275967,0.0001668695,0.0001534228,0.00005978904,0.04914859],"category_scores_gemma":[0.000003764303,0.0002102165,0.0001145814,0.00006382617,0.0005638034,0.0008294566,0.00002841624,0.000132477,0.00005652133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001164094,"about_ca_system_score_gemma":0.000041998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006951373,"about_ca_topic_score_gemma":0.1324401,"domain_scores_codex":[0.9985568,0.0001526068,0.0004024151,0.0003123676,0.0002838233,0.0002920165],"domain_scores_gemma":[0.9989696,0.0001090934,0.0002824883,0.0003186471,0.0002123975,0.0001077786],"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":[0.006212882,0.003753793,0.003130396,0.0005992128,0.006023937,0.00006789326,0.1161499,0.0003380029,0.0008375393,0.5484745,0.3041948,0.01021716],"study_design_scores_gemma":[0.003463353,0.004728629,0.0001768425,0.000919895,0.002211571,0.000005594783,0.1920999,0.0006724331,0.009602347,0.001358463,0.783671,0.001090017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5101449,0.009459365,0.0007791244,0.01409918,0.000327836,0.0009131095,0.0009555268,0.000176961,0.4631439],"genre_scores_gemma":[0.9773272,0.0003873694,0.0005099275,0.001632422,0.00173857,0.00001682816,0.0002148592,0.00003052967,0.0181423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.547116,"threshold_uncertainty_score":0.9996614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193914528704539,"score_gpt":0.2177468049525351,"score_spread":0.2058076596654897,"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."}}