{"id":"W7019139098","doi":"","title":"\"Expletive negation\" as a decomposed NPI in Québec French","year":2020,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Term (time); Identification (biology); Feature (linguistics); Sequence (biology)","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":[0.0008123318,0.0006225458,0.000449736,0.00103201,0.004507792,0.005486209,0.0008201806,0.001549972,0.04712617],"category_scores_gemma":[0.00258926,0.0003658712,0.0005419932,0.001784222,0.002492161,0.002888809,0.0009722174,0.002187532,0.003270159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03644277,"about_ca_system_score_gemma":0.01061577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9388223,"about_ca_topic_score_gemma":0.9434376,"domain_scores_codex":[0.9990368,0.0002870646,0.00003569574,0.0002001102,0.0002270643,0.0002132528],"domain_scores_gemma":[0.9988576,0.0003055918,0.00003526995,0.00008845201,0.0006688151,0.00004420499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003061702,0.00005310359,0.003614822,0.0002182371,0.0000608304,0.001648623,0.0101476,0.001631818,0.003578587,0.8081409,0.1277678,0.04283165],"study_design_scores_gemma":[0.0001309478,0.00004506467,0.02472219,0.0003796312,0.000118035,0.001106731,0.01043232,0.01046447,0.003794008,0.07873683,0.8698821,0.0001876493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.142326,0.00400263,0.01273656,0.01127751,0.0005562989,0.00007660524,0.005193776,0.000743812,0.8230867],"genre_scores_gemma":[0.7857598,0.0009012427,0.00369858,0.0008989726,0.0001017651,0.00003085127,0.001664315,0.0004025563,0.206542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06117773,"threshold_uncertainty_score":0.264412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367379123654503,"score_gpt":0.2607868285996287,"score_spread":0.2471130373630836,"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."}}