{"id":"W2767936368","doi":"","title":"Variation in the Use of Prepositions in Quebec French","year":2017,"lang":"en","type":"dissertation","venue":"Open Research Exeter (University of Exeter)","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variation (astronomy); Linguistics; Statistics; Geography; Natural language processing; Computer science; Mathematics; Philosophy; Physics; Astrophysics","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":[0.0008612995,0.0001138395,0.0003298853,0.0006260951,0.0004621391,0.0006180407,0.001350712,0.0001061638,0.001786566],"category_scores_gemma":[0.0001609888,0.0001051598,0.0001213001,0.000101028,0.0002288425,0.0006479297,0.0001554111,0.000355349,0.00001512653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006837377,"about_ca_system_score_gemma":0.0002645228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6806518,"about_ca_topic_score_gemma":0.876628,"domain_scores_codex":[0.9984654,0.0003320691,0.0002266608,0.0002715446,0.0004936446,0.000210729],"domain_scores_gemma":[0.9982908,0.0002541806,0.000286441,0.0006147376,0.0005204416,0.00003336243],"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":[0.0005614707,0.001454912,0.001884608,0.0006036025,0.0004078116,0.0003028465,0.7183076,0.00006697023,0.0004135155,0.250604,0.01913001,0.006262579],"study_design_scores_gemma":[0.003565524,0.0007371787,0.3292786,0.0039712,0.0006859445,0.000001445288,0.2840874,0.002296617,0.00009098443,0.021022,0.3530119,0.00125117],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4667611,0.00006778144,0.000009720275,0.0003894142,0.0001831729,0.0009924108,0.0002473817,0.000004050257,0.531345],"genre_scores_gemma":[0.8690278,0.00008247927,0.0001199429,0.000007938111,0.00008199627,0.000004889402,0.0005152595,0.000009797179,0.1301499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4342203,"threshold_uncertainty_score":0.999126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2607678152819285,"score_gpt":0.3766178379780279,"score_spread":0.1158500226960994,"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."}}