{"id":"W4405971662","doi":"10.5206/ch.2025.1.22306","title":"Introduction","year":2025,"lang":"en","type":"article","venue":"Chiasma (London. Print)/Chiasma","topic":"Italian Fascism and Post-war Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine","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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001411118,0.0003756902,0.0004453107,0.0002197417,0.001537258,0.0003112846,0.0008950545,0.0003999971,0.001376143],"category_scores_gemma":[0.0006581132,0.0003826656,0.0003867013,0.001190795,0.000700921,0.000494691,0.0002736463,0.0006000249,0.001136943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003329982,"about_ca_system_score_gemma":0.000617545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009997941,"about_ca_topic_score_gemma":0.0009805441,"domain_scores_codex":[0.9965958,0.0004104877,0.0005599363,0.0008509952,0.0006440465,0.0009387532],"domain_scores_gemma":[0.9982414,0.0001675401,0.0001934725,0.0008639029,0.000251671,0.0002819969],"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":[0.0001258808,0.0004085599,0.01528476,0.0001608435,0.0002515078,0.00001707888,0.02859698,0.00005274692,0.001078642,0.4076078,0.483548,0.06286726],"study_design_scores_gemma":[0.0007880798,0.00004938909,0.01199356,0.00004538297,0.00007551195,0.000005068508,0.004750793,0.0000578711,0.002223249,0.006541435,0.9730008,0.0004688657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6562662,0.001164117,0.0008573226,0.05389946,0.009752598,0.001255413,0.00003499721,0.0009183467,0.2758516],"genre_scores_gemma":[0.8608395,0.0008391408,0.003010052,0.00312329,0.006070348,0.0001199988,0.00009477499,0.00006952364,0.1258334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4894528,"threshold_uncertainty_score":0.9998626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009436919767902988,"score_gpt":0.2675524247989099,"score_spread":0.2581155050310069,"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."}}