{"id":"W7070433713","doi":"","title":"Particularités linguistiques du français québécois.","year":2020,"lang":"es","type":"dissertation","venue":"Zaguan (University of Zaragoza Repository)","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"English language; Second language; Orality","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001531689,0.000410876,0.0006363687,0.0001525566,0.0005542501,0.00007186278,0.0006377232,0.0004537452,0.001393329],"category_scores_gemma":[0.00009449857,0.0005263198,0.0004003063,0.0003765069,0.0002332771,0.0003071589,0.0001265492,0.0003820474,0.0003319323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002611888,"about_ca_system_score_gemma":0.0001403122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08918578,"about_ca_topic_score_gemma":0.005222127,"domain_scores_codex":[0.9976143,0.0002112288,0.0004911898,0.0007415756,0.0006583688,0.0002833151],"domain_scores_gemma":[0.9982837,0.00006557862,0.0007380539,0.0004494703,0.0001700804,0.0002931387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001213287,0.001409717,0.145196,0.001443489,0.0007516842,0.001707888,0.2164084,0.0003308117,0.5406456,0.005039262,0.06720553,0.0186483],"study_design_scores_gemma":[0.001363694,0.0009601061,0.5650137,0.0005467838,0.0007380912,0.0000438696,0.01951681,0.005629927,0.2930084,0.0001629019,0.111166,0.001849741],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544568,0.000364113,0.001740012,0.0007010323,0.0005801076,0.0005536123,0.00002106127,0.0002941584,0.04128912],"genre_scores_gemma":[0.9867383,0.0004368061,0.002725728,0.000123531,0.0001352656,0.000001505621,0.0001516613,0.00003809646,0.009649136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4198177,"threshold_uncertainty_score":0.9997188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007717025485852677,"score_gpt":0.2095462086051823,"score_spread":0.2018291831193297,"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."}}