{"id":"W231834095","doi":"","title":"Future Present Progressive in Brazilian Portuguese","year":2012,"lang":"en","type":"dissertation","venue":"Duo Research Archive (University of Oslo)","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Predicate (mathematical logic); Adverb; Portuguese; Computer science; Natural language processing; Numeral system; Grammatical category; Artificial intelligence; Noun; Philosophy","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":[0.0008465152,0.0002524114,0.0004493322,0.001192651,0.0004736752,0.00006365431,0.0007185672,0.0001927277,0.003383164],"category_scores_gemma":[0.0002728942,0.0002936606,0.0001764865,0.0001615134,0.0005250424,0.0002813864,0.00018941,0.001050892,0.0002238968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001407373,"about_ca_system_score_gemma":0.0003783636,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01207702,"about_ca_topic_score_gemma":0.06887971,"domain_scores_codex":[0.9970335,0.0004518107,0.0002694962,0.0004726163,0.00109377,0.0006788349],"domain_scores_gemma":[0.9978609,0.0003235766,0.0003254121,0.0004563569,0.0008227631,0.0002110119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001075932,0.000857682,0.001209469,0.001345562,0.0003284146,0.0004855988,0.5817725,0.00000337039,0.0004201449,0.36861,0.01157247,0.03231889],"study_design_scores_gemma":[0.001656152,0.0004142718,0.2293459,0.001183418,0.0001482801,0.000003909612,0.5306173,0.0004970828,0.00006500778,0.1190461,0.1161766,0.0008459674],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5360729,0.003165035,0.00009928946,0.01103193,0.004697975,0.003717525,0.00138908,0.000164774,0.4396615],"genre_scores_gemma":[0.9555889,0.0004436834,0.0008674915,0.00001196909,0.003943781,0.000009090189,0.004827784,0.00007862999,0.03422861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4195161,"threshold_uncertainty_score":0.9999515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0345315218834648,"score_gpt":0.2853489590635564,"score_spread":0.2508174371800916,"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."}}