{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015215,0.0002197321,0.0004921711,0.0002754578,0.00003555769,0.00003077775,0.0003055719,0.0002831423,0.1946885],"category_scores_gemma":[0.00001326561,0.0002626852,0.0001228403,0.0000562,0.00008579145,0.00007144111,0.00004498905,0.00007836411,0.158766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005707099,"about_ca_system_score_gemma":0.00001589817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004097997,"about_ca_topic_score_gemma":0.0001165866,"domain_scores_codex":[0.9988788,0.000005729382,0.0003768918,0.0005262516,0.00001206803,0.000200304],"domain_scores_gemma":[0.9989951,0.000006225641,0.0003642055,0.0005638884,0.000005013133,0.00006552425],"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":[0.000001797793,0.00001731087,0.0004494903,0.00001924217,0.00005891281,0.000001869011,0.00005870873,4.080265e-8,1.148288e-7,0.1004535,0.8988144,0.0001245948],"study_design_scores_gemma":[0.0001412877,0.00002982426,0.00001429093,0.00003515912,0.000002624342,9.27995e-7,0.00001215882,0.00001277085,0.000003913197,0.004099263,0.9953091,0.0003387044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002098521,0.009170772,0.000347128,0.00008930958,0.001351556,0.0001656439,0.0001195697,0.0002697363,0.9884653],"genre_scores_gemma":[0.0009027112,0.0002097329,0.0004842718,0.0002554251,0.0007618164,0.00001795675,0.0000367487,0.0003595191,0.9969718],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09649462,"threshold_uncertainty_score":0.9999825,"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."}}