{"id":"W3023506918","doi":"","title":"BORDER EFFECTS AMONG CATALAN DIALECTS","year":2013,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Catalan; Pronunciation; Linguistics; Standardization; Variety (cybernetics); Computer science; Geography; History; Artificial intelligence; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001222329,0.0002868494,0.0003292189,0.001122153,0.0006839125,0.001371338,0.0003383515,0.0002491254,0.003502402],"category_scores_gemma":[0.003458577,0.0001368755,0.0002323696,0.001062909,0.0005933124,0.000440917,0.001084925,0.0003111695,0.0003704334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008263863,"about_ca_system_score_gemma":0.0003219951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04054411,"about_ca_topic_score_gemma":0.05720206,"domain_scores_codex":[0.9988889,0.0004266941,0.00007775881,0.0003339255,0.0001767495,0.00009597374],"domain_scores_gemma":[0.9970165,0.001424024,0.000505014,0.00036095,0.0004830698,0.0002104272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006933607,0.00008858895,0.9488595,0.00008727724,0.0002372955,0.00039639,0.0180994,0.0003371586,0.007215909,0.001340792,0.0005947047,0.02204953],"study_design_scores_gemma":[0.000008011955,0.00003459183,0.9934021,0.00001675466,0.00002449784,0.0000899467,0.004786661,0.0001822899,0.0002991075,0.000172068,0.0009769645,0.000007079811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979374,0.0001269311,0.000106386,0.00001720522,0.000003964494,0.000003414939,0.0001113322,0.000003598446,0.001689708],"genre_scores_gemma":[0.9991364,0.00003717756,0.0001286172,0.00001258385,0.000001567863,0.000006136951,0.0002179926,0.000006083858,0.0004535776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04054411,"threshold_uncertainty_score":0.08061618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009002288222970976,"score_gpt":0.213943087794175,"score_spread":0.204940799571204,"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."}}