{"id":"W7097174970","doi":"","title":"A Response to Blust In Memory of Stan Starosta","year":2016,"lang":"en","type":"article","venue":"","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Government (linguistics); Natural 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":[0.0005247376,0.00006729487,0.0001217018,0.0001578386,0.00003126125,0.00002351452,0.00009038547,0.00002065651,0.003564105],"category_scores_gemma":[0.00110351,0.00004525742,0.00002281541,0.00002647161,0.00005484799,0.00005644868,0.00003635098,0.00002332109,0.0001407028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005724587,"about_ca_system_score_gemma":0.00004657856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001790427,"about_ca_topic_score_gemma":0.01126373,"domain_scores_codex":[0.9992794,0.00007208255,0.000241838,0.0001249751,0.0001469789,0.0001347154],"domain_scores_gemma":[0.999267,0.0003102611,0.00005297507,0.0002024388,0.0001295291,0.00003774881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001115149,0.0001137025,0.0009913231,0.00002268805,0.00001939856,0.00001048901,0.1037402,0.00000429894,0.01348899,0.8761683,0.001918555,0.00240685],"study_design_scores_gemma":[0.01068793,0.002515522,0.06104736,0.001463848,0.0001096218,0.000005646277,0.167427,0.0004082049,0.07220492,0.4055201,0.2764807,0.002129178],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415591,0.00000448946,0.0004835931,0.02767685,0.000462221,0.0001773333,0.00005275941,0.00003942599,0.02954426],"genre_scores_gemma":[0.979633,9.112703e-7,0.000374621,0.0002212863,0.0001614153,0.000004981954,9.127999e-7,0.00001060066,0.01959222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4706483,"threshold_uncertainty_score":0.9973468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02826775361372502,"score_gpt":0.248033550719912,"score_spread":0.219765797106187,"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."}}