{"id":"W2531088284","doi":"10.1515/lingty-2016-0006","title":"Sampling for variety","year":2016,"lang":"en","type":"article","venue":"Linguistic Typology","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Variety (cybernetics); Sampling (signal processing); Stratification (seeds); Representation (politics); Computer science; Diversity (politics); Geography; Artificial intelligence; Sociology; Biology; Anthropology","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":[0.0144791,0.0006009489,0.0006879384,0.004178084,0.002104368,0.001715328,0.001892098,0.0008692477,0.02032322],"category_scores_gemma":[0.07028832,0.0004177674,0.000818477,0.005058131,0.001653843,0.001823055,0.00301103,0.001154015,0.002953811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684734,"about_ca_system_score_gemma":0.001646111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006057956,"about_ca_topic_score_gemma":0.005876724,"domain_scores_codex":[0.9730737,0.0170174,0.001453975,0.003300694,0.004458617,0.0006956226],"domain_scores_gemma":[0.9680018,0.01423134,0.001700579,0.0102516,0.005179984,0.0006347181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006088411,0.0002875942,0.08602624,0.0008059235,0.0002080682,0.000610784,0.009444193,0.0107092,0.004339883,0.253618,0.06173128,0.57161],"study_design_scores_gemma":[0.0004455667,0.001081878,0.09250252,0.00091648,0.0002085344,0.001917574,0.01246263,0.07012086,0.01268467,0.3046984,0.5027837,0.0001772837],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1332472,0.0006236831,0.7529871,0.001322951,0.0009274029,0.01503708,0.009304531,0.001122467,0.0854276],"genre_scores_gemma":[0.4867789,0.0003899022,0.4671906,0.0008299451,0.0002845085,0.01782471,0.007916379,0.0003843262,0.01840077],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02032322,"threshold_uncertainty_score":0.07657373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05980690076315893,"score_gpt":0.3738667254937471,"score_spread":0.3140598247305882,"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."}}