{"id":"W3215870059","doi":"","title":"Segmentação discursiva automática: uma avaliação preliminar em francês","year":2013,"lang":"pt","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Linguistics and Education Research","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0052854,0.0008075142,0.0007992813,0.0004180408,0.00196635,0.003590089,0.002446043,0.000474899,0.01688669],"category_scores_gemma":[0.002243545,0.0008012268,0.0005206151,0.0002564653,0.000908242,0.0002549761,0.002160939,0.00157004,0.002300903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003288649,"about_ca_system_score_gemma":0.0007749599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006825608,"about_ca_topic_score_gemma":0.002687612,"domain_scores_codex":[0.989872,0.005067418,0.001248712,0.001487568,0.001210582,0.001113681],"domain_scores_gemma":[0.9878526,0.002015774,0.0008591132,0.00352355,0.005074212,0.0006747855],"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":[0.00002867595,0.002399225,0.0008858425,0.0009004499,0.0003855681,0.00001049391,0.2997114,0.00002704929,0.00009767885,0.6122498,0.04459898,0.03870483],"study_design_scores_gemma":[0.002549797,0.000007610902,0.01048915,0.0103431,0.0006278585,0.00002013638,0.02988303,0.05490318,0.005939397,0.03768913,0.8438948,0.003652844],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3630447,0.007269849,0.0281359,0.07166,0.009217719,0.005229976,0.001638987,0.001077706,0.5127251],"genre_scores_gemma":[0.7319682,0.001210393,0.004341464,0.0002364741,0.0004309508,0.0003609347,0.001342639,0.0001467992,0.2599621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7992958,"threshold_uncertainty_score":0.999788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03393980098562892,"score_gpt":0.2688199647483782,"score_spread":0.2348801637627492,"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."}}