{"id":"W3043429070","doi":"10.1017/s0047404517000161","title":"Review Article","year":2017,"lang":"en","type":"article","venue":"Language in Society","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Endangered species; Documentation; Political science; Government (linguistics); Library science; Sociology; Linguistics; Population; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005573215,0.00003320493,0.00006628794,0.000003973934,0.0003656412,0.00005856051,0.0002237944,0.00003738394,0.0007907401],"category_scores_gemma":[0.0006562743,0.00003161229,0.00006168107,0.00004823588,0.0001306855,0.0001016184,0.00002378942,0.00007860429,0.0001085057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003788523,"about_ca_system_score_gemma":0.00008915042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01097637,"about_ca_topic_score_gemma":0.003171146,"domain_scores_codex":[0.9995553,0.00004610444,0.00007913188,0.00007785001,0.00008952311,0.0001521306],"domain_scores_gemma":[0.9995925,0.00003338198,0.00005144263,0.0002457479,0.00001988676,0.0000570403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001410117,0.0001022267,0.02590463,0.0002222313,0.000008982624,0.000004668612,0.6711288,3.55931e-7,0.0002866915,0.01082454,0.09909955,0.1924159],"study_design_scores_gemma":[0.0002209901,0.000002947311,0.02663066,0.0003646303,0.000006329485,3.215916e-7,0.03078597,0.00002958079,0.0001381327,0.0002706926,0.9414207,0.0001290852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6281021,0.0149151,0.000004254384,0.02179121,0.0004004557,0.0002594338,0.000003086711,0.00006494191,0.3344594],"genre_scores_gemma":[0.9693093,0.007993477,0.0004825338,0.01181891,0.0004501408,0.00001204586,0.000001291207,0.000004912558,0.009927423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8423211,"threshold_uncertainty_score":0.9956096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08548450206334277,"score_gpt":0.5327547229355701,"score_spread":0.4472702208722273,"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."}}