{"id":"W1525978064","doi":"10.1017/cbo9780511642371.008","title":"Conclusions","year":2009,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"World Wars: History, Literature, and Impact","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001786784,0.0003263301,0.0003980167,0.0002163781,0.001205491,0.00009333515,0.000673416,0.0005343088,0.00004325125],"category_scores_gemma":[0.00002601587,0.0003939867,0.0003101762,0.00001505475,0.0006684237,0.0001588765,0.0001476107,0.0005954698,0.00004443777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008425913,"about_ca_system_score_gemma":0.0005446812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009003998,"about_ca_topic_score_gemma":0.00007365077,"domain_scores_codex":[0.9984223,0.00009857921,0.0001621437,0.0004403566,0.0004530807,0.0004235205],"domain_scores_gemma":[0.9986717,0.00007772452,0.0002013077,0.0004542249,0.0001878066,0.0004072207],"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":[0.0000236497,0.00000701429,6.529095e-7,0.000007406859,0.0000342389,0.0001413437,0.001350603,1.700234e-7,0.000006098981,0.7437121,0.2523153,0.002401456],"study_design_scores_gemma":[0.0002751831,0.00005525682,0.00001141712,0.0001271888,0.0001294552,0.000002597602,0.0001816211,0.000001040508,0.000007912877,0.00006039765,0.9987164,0.0004315564],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003666295,0.000482968,0.00001821513,0.0001150188,0.0006392325,0.0003769962,0.0002508151,0.0002175836,0.9978625],"genre_scores_gemma":[0.001585742,0.0002716228,0.00004840405,0.0003486805,0.0006311637,1.989303e-7,0.00004840152,0.00003047823,0.9970353],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7464011,"threshold_uncertainty_score":0.9998512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203184881274504,"score_gpt":0.2315406144772678,"score_spread":0.2095087656645228,"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."}}