{"id":"W4323787194","doi":"10.33137/ic.v23i.39899","title":"Mauro, Max. La mia casa è dove sono felice. Storie di emigrati e immigrati. Udine: Kappa Vu, 2005.","year":2022,"lang":"it","type":"article","venue":"Italian Canadiana","topic":"Italian Social Issues and Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Humanities; Physics; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001392788,0.0007551219,0.0008188275,0.0003692585,0.003773852,0.0008142528,0.001217799,0.0005140232,0.01015816],"category_scores_gemma":[0.0002098744,0.0009379194,0.0005431855,0.001758864,0.0006182183,0.0006955693,0.0002157257,0.001011551,0.0005789847],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004152745,"about_ca_system_score_gemma":0.00280174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6980193,"about_ca_topic_score_gemma":0.8573645,"domain_scores_codex":[0.993205,0.001071607,0.0009056521,0.001178055,0.001534197,0.002105475],"domain_scores_gemma":[0.9966385,0.0002114965,0.0005516942,0.0007909159,0.000231321,0.001576058],"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":[0.00005787098,0.0001703332,0.002909468,0.00005107808,0.0002590969,0.0008770416,0.08475818,0.0001194971,0.0001421948,0.04231049,0.8618689,0.006475842],"study_design_scores_gemma":[0.0004968495,0.0002206662,0.001753609,0.00003411309,0.0001908656,0.0000244091,0.08040979,0.0001646757,0.000033421,0.0005634783,0.9150566,0.00105146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4428242,0.02125787,0.0001199416,0.07252868,0.020098,0.005443217,0.01393145,0.0006669888,0.4231296],"genre_scores_gemma":[0.8013465,0.0002965926,0.00006476654,0.001631025,0.002235055,0.0001839841,0.0004174481,0.0001267803,0.1936978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3585223,"threshold_uncertainty_score":0.9996701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370641861718706,"score_gpt":0.2651725597005825,"score_spread":0.2514661410833954,"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."}}