{"id":"W4247151859","doi":"10.3138/9781442667723-fm","title":"Frontmatter","year":2013,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Soviet and Russian History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008343628,0.0001512162,0.0002683332,0.00001588746,0.0002777353,0.00001263646,0.0004648092,0.0003806856,0.03396279],"category_scores_gemma":[0.000003190862,0.000181629,0.0001877388,2.573191e-7,0.0005865245,0.0001246844,0.0001007728,0.0001304244,0.0004165467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000415107,"about_ca_system_score_gemma":0.0001371111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.361695,"about_ca_topic_score_gemma":0.09052305,"domain_scores_codex":[0.9991738,0.00003510176,0.0001007976,0.0002188136,0.0002930746,0.0001783987],"domain_scores_gemma":[0.999294,0.00003074258,0.0001892341,0.0002686028,0.00008644205,0.0001309401],"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":[0.00001587361,0.000005697382,0.000001852388,0.00002508747,0.00007480228,0.00001204063,0.02120618,6.844976e-8,0.000003532301,0.3852146,0.583448,0.009992335],"study_design_scores_gemma":[0.0001489969,0.00001629627,0.00002576963,0.000065404,0.00007339034,1.397765e-7,0.0002258472,5.641734e-7,0.000001868673,0.0005403604,0.9987025,0.0001989145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002839281,0.00185254,0.00001566142,0.00003774432,0.0003819142,0.0002440643,0.00001970076,0.00006386018,0.9973817],"genre_scores_gemma":[0.0001173723,0.0002350772,0.0002670122,0.0000390764,0.0001910683,1.552496e-7,0.000004142566,0.00001710041,0.999129],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4152545,"threshold_uncertainty_score":0.9669203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293088442318391,"score_gpt":0.2125559788224068,"score_spread":0.1896250943992229,"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."}}