{"id":"W3197103617","doi":"10.2478/scp-2020-0001","title":"Transatlantic Context for Gaelic Language Revitalisation","year":2020,"lang":"en","type":"article","venue":"Studia Celtica Posnaniensia","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Edinburgh; Royal Society of Edinburgh; Royal Society; Harvard University","keywords":"Sociolinguistics; Salience (neuroscience); Nova scotia; Context (archaeology); Minority language; Linguistics; First language; Language planning; Language policy; Sociology; Political science; History; Ethnology; Psychology; Pedagogy","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":[0.001577173,0.0001220531,0.0001423148,0.0007241843,0.006504642,0.004117528,0.0006807373,0.00141737,0.00595947],"category_scores_gemma":[0.003033579,0.000106949,0.0001067323,0.0006668672,0.007824997,0.001288817,0.005540669,0.001828427,0.000270675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01164819,"about_ca_system_score_gemma":0.008334056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1938092,"about_ca_topic_score_gemma":0.4191537,"domain_scores_codex":[0.9981659,0.000477686,0.00003206186,0.0001572495,0.0001384595,0.001028621],"domain_scores_gemma":[0.9982294,0.0006320057,0.0002798397,0.0001156355,0.0002605474,0.0004823856],"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":[0.0001177213,0.00006241393,0.02393063,0.00009946142,0.00001337957,0.006823723,0.431519,0.0002517727,0.003289383,0.5040302,0.005189176,0.0246732],"study_design_scores_gemma":[0.00003446355,0.00009432963,0.1002969,0.0004905551,0.00002397985,0.001414137,0.5348133,0.0006255996,0.001373575,0.03056903,0.3301994,0.00006484843],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8364475,0.0006023122,0.0003678035,0.009300927,0.00008495855,0.00001495379,0.0000245108,0.000009393866,0.1531476],"genre_scores_gemma":[0.9967055,0.00004698826,0.00005395658,0.0002563531,0.000005642106,0.000002304795,0.000002856659,0.000002626026,0.002923839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1938092,"threshold_uncertainty_score":0.3853621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04822445757715369,"score_gpt":0.3293385693923838,"score_spread":0.2811141118152301,"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."}}