{"id":"W6991670090","doi":"","title":"Hutterisch: a language of Canada","year":2018,"lang":"en","type":"article","venue":"Americanae (AECID Library)","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural language; Constructed language; Language industry; On Language; Universal Networking 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008350678,0.00005760914,0.0001305215,0.0000421952,0.0001360048,0.000007457669,0.0002303698,0.00002965721,0.006147666],"category_scores_gemma":[0.0003110349,0.00005616775,0.00002514847,0.0003161071,0.0003910422,0.00009690517,0.00004133674,0.0000442731,0.00002362199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002434795,"about_ca_system_score_gemma":0.001135649,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9759156,"about_ca_topic_score_gemma":0.5062996,"domain_scores_codex":[0.9992118,0.0001021436,0.0001454945,0.0001269202,0.0001902426,0.0002233368],"domain_scores_gemma":[0.999492,0.00007966905,0.0001094605,0.0001583162,0.00003977687,0.0001207419],"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":[0.00003636851,0.00006437911,0.1677377,0.000008186311,0.00006873297,0.00008712678,0.03280666,9.792059e-7,0.0007898685,0.1420382,0.6433839,0.01297792],"study_design_scores_gemma":[0.0003316691,0.0001598995,0.1836444,0.00001088525,0.00001827489,0.000001678961,0.01405501,0.00002539635,0.003195649,0.0006802609,0.7975956,0.0002812869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6796824,0.00003913268,0.0001438631,0.007459817,0.0008680371,0.00009555325,0.00002433357,0.00007234088,0.3116145],"genre_scores_gemma":[0.9825988,0.000008777764,0.001503111,0.003967362,0.000592291,0.000003263242,0.000006130297,0.000009614224,0.01131059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4696161,"threshold_uncertainty_score":0.9947609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008386667304061263,"score_gpt":0.2577532595953517,"score_spread":0.2493665922912904,"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."}}