{"id":"W4211175398","doi":"10.1017/9781108529525.001","title":"Preface","year":2018,"lang":"en","type":"other","venue":"","topic":"Italy: Economic History and Contemporary Issues","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001419437,0.000941967,0.0006536022,0.003674118,0.001676663,0.003946327,0.001219837,0.001015176,0.5106654],"category_scores_gemma":[0.01086842,0.000313894,0.0005501701,0.002720979,0.0005559082,0.002435556,0.001598694,0.002815409,0.4255654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002003758,"about_ca_system_score_gemma":0.002107969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004388524,"about_ca_topic_score_gemma":0.003948828,"domain_scores_codex":[0.9991133,0.0001063305,0.0000715067,0.0001647314,0.0004689101,0.00007530575],"domain_scores_gemma":[0.9944696,0.000839863,0.0002505414,0.0004487738,0.003326927,0.0006643436],"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":[0.00001211677,0.000007814496,0.00005243456,0.00009958239,0.000001052628,0.00001788017,0.00002994545,0.00004293037,0.0000495753,0.002325336,0.9760761,0.02128521],"study_design_scores_gemma":[0.000002274454,0.000006118205,0.0002202522,0.0001305092,9.444713e-7,0.00002422519,0.00002786614,0.00001437395,0.00003082657,0.001176683,0.9983631,0.000002838749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001178743,0.01501234,0.006641027,0.03230068,0.1531954,0.0007179406,0.04043864,0.002824717,0.7476905],"genre_scores_gemma":[0.00510746,0.01031129,0.002366034,0.005830055,0.03140621,0.000400904,0.02634983,0.001427382,0.9168008],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4893346,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03076985061367333,"score_gpt":0.195291421040606,"score_spread":0.1645215704269327,"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."}}