{"id":"W4323660820","doi":"10.33137/ic.v19i.40167","title":"Part Two: Italian Language, Identity and Media","year":2023,"lang":"en","type":"article","venue":"Italian Canadiana","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identity (music); Linguistics; Computer science; Sociology; Art; Philosophy; Aesthetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002160082,0.0001157686,0.0001317032,0.000145927,0.0001710988,0.0001963476,0.0003675431,0.000036267,0.0001152344],"category_scores_gemma":[0.0002430435,0.0001155108,0.00003765634,0.0005861726,0.00005380103,0.0002743945,0.0001591306,0.00006482962,0.000271616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006603757,"about_ca_system_score_gemma":0.00005786448,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02342386,"about_ca_topic_score_gemma":0.07253931,"domain_scores_codex":[0.9989105,0.00002572993,0.000144062,0.0003152367,0.0002209877,0.0003834098],"domain_scores_gemma":[0.9991801,0.00007676421,0.00003855174,0.0003776691,0.00004489389,0.0002820097],"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":[0.000004182307,0.00002902287,0.004589904,0.00008853876,0.0001647875,0.0058186,0.033808,0.00001895656,0.0001498547,0.3554294,0.5058543,0.0940445],"study_design_scores_gemma":[0.00375343,0.0002631174,0.2733961,0.0003784422,0.0001697853,0.0003485918,0.02187224,0.01875542,0.0007057925,0.05366112,0.6233018,0.00339418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8497992,0.0113278,0.007523336,0.02062588,0.01439697,0.0009882331,0.0006739079,0.002275637,0.09238908],"genre_scores_gemma":[0.9950827,0.00003536319,0.0007092957,0.001814239,0.0006922017,0.00001359569,0.00003686367,0.00001416114,0.001601533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3017682,"threshold_uncertainty_score":0.9830793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193782500984916,"score_gpt":0.2764347857325381,"score_spread":0.2570565356340465,"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."}}