{"id":"W7023392919","doi":"","title":"Language","year":2017,"lang":"en","type":"article","venue":"IUScholarWorks (Indiana University)","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vernacular; Population; Standard language; Language family; Hindi; Constructed language; East Asian languages; On 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":[0.001178733,0.0007462829,0.000503896,0.001533845,0.002467343,0.008054601,0.001753813,0.001879331,0.2796001],"category_scores_gemma":[0.005173441,0.0002113017,0.0004671492,0.00170739,0.002131677,0.006239065,0.004295054,0.002106352,0.2161916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002337737,"about_ca_system_score_gemma":0.002657956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003899943,"about_ca_topic_score_gemma":0.004233511,"domain_scores_codex":[0.9981956,0.0004422634,0.00012328,0.0004009982,0.0005974012,0.0002405735],"domain_scores_gemma":[0.9984223,0.0002759033,0.00009133439,0.0003342097,0.0006364172,0.0002399688],"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":[0.00004247352,0.00001997354,0.000602038,0.0002913082,0.000009288538,0.0001619072,0.0018137,0.00006567145,0.0003405205,0.1321861,0.7023997,0.1620672],"study_design_scores_gemma":[0.000001584142,0.000004130619,0.0001626616,0.00007638415,0.000001272156,0.00008299577,0.0002731465,0.00001548801,0.00005589967,0.004401639,0.9949204,0.000004484181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001263125,0.004632635,0.003152295,0.01179842,0.004905208,0.0000708941,0.003287249,0.001102133,0.969788],"genre_scores_gemma":[0.03866329,0.007189446,0.004160238,0.01265075,0.002671124,0.0001855518,0.00679272,0.001236816,0.9264502],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2796001,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116207599625333,"score_gpt":0.293933044742972,"score_spread":0.2727709687467187,"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."}}