{"id":"W1494395843","doi":"","title":"Le 'migrazioni linguistiche' e l'autotraduzione di Mario Duliani","year":2011,"lang":"it","type":"article","venue":"","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reflexive pronoun; Censorship; Art; Humanities; Literary translation; Source text; Linguistics; History; Literature; Philosophy; Theology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001107048,0.0003442856,0.0002691833,0.0007759935,0.003483511,0.003070683,0.0004635509,0.0006117538,0.002428296],"category_scores_gemma":[0.001919115,0.0001959803,0.0001120403,0.001153133,0.006256241,0.001647812,0.001767404,0.001880896,0.0004067291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006068473,"about_ca_system_score_gemma":0.00346334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1080884,"about_ca_topic_score_gemma":0.148127,"domain_scores_codex":[0.9993012,0.000257782,0.00001404959,0.0001169703,0.00015587,0.0001542109],"domain_scores_gemma":[0.9994252,0.0002452542,0.00007776065,0.00005962384,0.000106306,0.00008593115],"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":[0.00007402096,0.0000280887,0.002790252,0.0002396114,0.000006987065,0.0005680509,0.1785461,0.0002052942,0.001321705,0.6217992,0.09876978,0.09565104],"study_design_scores_gemma":[0.000007578475,0.00001695318,0.007461054,0.0002457393,0.000005653553,0.0004518208,0.01309416,0.0002096932,0.000364961,0.01242496,0.9656966,0.00002077181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2254626,0.08502037,0.002429096,0.1279306,0.002401534,0.00003566144,0.0001177025,0.0001613067,0.5564412],"genre_scores_gemma":[0.9255432,0.01584924,0.0008856386,0.001878645,0.001223007,0.00001980255,0.00003077058,0.0001407781,0.05442891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1080884,"threshold_uncertainty_score":0.2149186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602183013394181,"score_gpt":0.2242263474554237,"score_spread":0.1982045173214819,"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."}}