{"id":"W7133038711","doi":"","title":"Italiano e dialetto fra percezione e produzione nei bambini","year":2020,"lang":"it","type":"dissertation","venue":"Open MIND","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Narrative; Neuroscience of multilingualism; Comprehension; Grammar; Cognition; Set (abstract data type); Perception; Language development; First language","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":[0.001086304,0.0004032877,0.0003314536,0.000957662,0.0006762011,0.002536971,0.000243211,0.0004698564,0.007470607],"category_scores_gemma":[0.003018162,0.0002232305,0.0001627828,0.0009247133,0.0009062431,0.001327687,0.0008263604,0.0006494441,0.00153528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111171,"about_ca_system_score_gemma":0.0006392127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01387369,"about_ca_topic_score_gemma":0.01867847,"domain_scores_codex":[0.9994769,0.0001907848,0.00002434535,0.0001103352,0.0001207293,0.00007704707],"domain_scores_gemma":[0.9985552,0.0005502885,0.0003657966,0.0001445425,0.0002249214,0.0001590915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004528564,0.0004044397,0.3449416,0.001049322,0.00006903909,0.001979879,0.1854075,0.0001688733,0.01697525,0.03975531,0.01629428,0.3925017],"study_design_scores_gemma":[0.00002583412,0.0001838693,0.7377834,0.0004836482,0.000068209,0.002627152,0.02349366,0.0003785201,0.00236217,0.005000139,0.2275475,0.00004594401],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7984529,0.01326829,0.003574741,0.003656458,0.0001641086,0.00006476706,0.0005057617,0.0002869458,0.1800261],"genre_scores_gemma":[0.9757723,0.003621105,0.003816148,0.0002849431,0.00004585405,0.0000472904,0.0002468947,0.00008075206,0.01608463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01387369,"threshold_uncertainty_score":0.02758586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04050625159898812,"score_gpt":0.314817124065848,"score_spread":0.2743108724668599,"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."}}