{"id":"W4385523442","doi":"10.59962/9780774832557","title":"War-Torn Exchanges","year":2016,"lang":"it","type":"book","venue":"University of British Columbia Press eBooks","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000634742,0.0003444981,0.002195216,0.0001974165,0.000480216,0.0003155408,0.001428974,0.001205638,0.002610141],"category_scores_gemma":[0.000040213,0.001046717,0.0008139692,0.00002955506,0.001416503,0.000330516,0.0006901838,0.0004298751,0.0004863116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007834309,"about_ca_system_score_gemma":0.0002657704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4011515,"about_ca_topic_score_gemma":0.1802604,"domain_scores_codex":[0.9961849,0.00008615184,0.001236944,0.001477573,0.0001400638,0.0008743093],"domain_scores_gemma":[0.995892,0.0001558536,0.002308749,0.001008589,0.0002331224,0.0004016189],"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":[0.0001755869,0.0003638786,0.009528728,0.002552604,0.002247307,0.0007035835,0.003337838,0.000004105835,0.000008190056,0.04319267,0.8832347,0.05465076],"study_design_scores_gemma":[0.002312125,0.000205523,0.002250926,0.001229045,0.0001400578,0.0000375182,0.0002150576,0.00003906933,0.000002513475,0.0192926,0.9730239,0.001251663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006628214,0.003668118,0.000258688,0.00003605221,0.002801563,0.001128873,0.01547062,0.0001030482,0.9699048],"genre_scores_gemma":[0.05474588,0.006930626,0.0001025417,0.00007005593,0.001018114,0.000003451079,0.00009841566,0.0001269442,0.936904],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2208911,"threshold_uncertainty_score":0.9991983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02245658436860505,"score_gpt":0.1664674080811205,"score_spread":0.1440108237125155,"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."}}