{"id":"W4400755247","doi":"10.1787/eco_surveys-can-2018-graph36-en","title":"Average time needed to improve one Canadian Language Benchmark¹","year":2018,"lang":"en","type":"other","venue":"OECD economic surveys. Canada","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Benchmark (surveying); Computer science; Geography; Cartography","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":[0.002448151,0.0004569843,0.0004452844,0.003049542,0.003900895,0.002833434,0.001843062,0.0007171651,0.02468148],"category_scores_gemma":[0.02045614,0.00030167,0.001157031,0.004303148,0.0007385102,0.001177192,0.00155616,0.00170253,0.004379323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04051914,"about_ca_system_score_gemma":0.1069823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.990392,"about_ca_topic_score_gemma":0.9914867,"domain_scores_codex":[0.994868,0.0004219252,0.0002547622,0.0003022625,0.002683421,0.001469665],"domain_scores_gemma":[0.9838792,0.0009077348,0.000813987,0.0003230029,0.0112084,0.002867796],"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":[0.0004977902,0.000243398,0.259201,0.0007552655,0.0002044553,0.0002479103,0.00584572,0.001401962,0.000539413,0.004626699,0.4452675,0.2811688],"study_design_scores_gemma":[0.00005531449,0.0001060666,0.7596719,0.0004457803,0.0001853479,0.0001951831,0.01260902,0.0007995383,0.0008730224,0.0004738951,0.2244652,0.0001197611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5320905,0.008275264,0.001546069,0.02881973,0.001806409,0.0006405202,0.1453417,0.001272326,0.2802075],"genre_scores_gemma":[0.7872304,0.00687107,0.002338318,0.00280811,0.0001943901,0.0002892885,0.03609624,0.0003795215,0.1637927],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04051914,"threshold_uncertainty_score":0.2939883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949478325728433,"score_gpt":0.3224609506750616,"score_spread":0.3029661674177773,"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."}}