{"id":"W4416173198","doi":"10.47749/t/unicamp.2023.1268330","title":"The present tense analyticisation process in brazilian portuguese","year":2023,"lang":"","type":"dissertation","venue":"","topic":"Linguistics and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Estadual Paulista; Society for Research in Child Development; Universidade Federal do Rio de Janeiro; Universidade Nova de Lisboa; Fundação de Amparo à Pesquisa do Estado de São Paulo; University of Oxford; University of Cambridge; Universidade de São Paulo; University of Pennsylvania; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; University of Southern California; University of Ottawa","keywords":"Process (computing); Brazilian Portuguese; Portuguese; Present tense","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.006632314,0.0003871123,0.0004072442,0.002300067,0.004376129,0.005818815,0.0007484779,0.0008656436,0.004266053],"category_scores_gemma":[0.01787519,0.000537792,0.0003080716,0.003655329,0.006435922,0.008026499,0.002259282,0.001558308,0.0005648605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008850801,"about_ca_system_score_gemma":0.004887093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04681732,"about_ca_topic_score_gemma":0.05348788,"domain_scores_codex":[0.9968638,0.002011772,0.0001564352,0.0002980803,0.0004948332,0.0001751109],"domain_scores_gemma":[0.9927902,0.004891048,0.0006198202,0.0006154695,0.0009344289,0.0001490101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006806555,0.00001994681,0.001848534,0.0003976259,0.000009834654,0.0004632767,0.6062485,0.0002598259,0.001886352,0.3489172,0.002471362,0.0374096],"study_design_scores_gemma":[0.00002463218,0.00004579299,0.01274666,0.001997987,0.00007307782,0.0006405682,0.3968996,0.002877582,0.003371397,0.1159366,0.4653006,0.00008543133],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4287271,0.0138615,0.01779713,0.01366269,0.0002727629,0.0001280718,0.0004494623,0.0001426922,0.5249586],"genre_scores_gemma":[0.9876199,0.002287622,0.00211874,0.0001390845,0.00003122502,0.00002759443,0.00007813176,0.00009043102,0.007607304],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04681732,"threshold_uncertainty_score":0.09308958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748509329076129,"score_gpt":0.3163404209554138,"score_spread":0.2888553276646525,"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."}}