{"id":"W4300558823","doi":"","title":"SASI: sumarizador automático de documentos baseado no problema do subconjunto independente de vértices","year":2014,"lang":"es","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Linguistics and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001660452,0.002402134,0.001871604,0.006896068,0.001526823,0.005312296,0.002156674,0.001579216,0.01185379],"category_scores_gemma":[0.008251376,0.001186914,0.002746789,0.004536732,0.0008268132,0.003893506,0.002952139,0.002045235,0.01006116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025991,"about_ca_system_score_gemma":0.001979566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006624305,"about_ca_topic_score_gemma":0.0138081,"domain_scores_codex":[0.9978429,0.0002114477,0.0001979984,0.0007975075,0.0007721898,0.0001778151],"domain_scores_gemma":[0.996936,0.0009253485,0.0002209509,0.0007826259,0.0009949883,0.000140132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001262125,0.0001157737,0.005986682,0.001346103,0.0005357997,0.000379234,0.0004695409,0.00624011,0.06190897,0.008849422,0.05328856,0.8596177],"study_design_scores_gemma":[0.0002858858,0.000486778,0.01677507,0.0005784462,0.001033569,0.001624736,0.001792945,0.5610245,0.2141388,0.05895738,0.143124,0.0001778287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05004876,0.002355447,0.8449221,0.0007061271,0.0007154254,0.0004438133,0.01158492,0.08125462,0.007968837],"genre_scores_gemma":[0.130426,0.0009638116,0.818751,0.0001434491,0.0001896819,0.0002580225,0.02804718,0.005724705,0.01549608],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01185379,"threshold_uncertainty_score":0.03965485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064454419937776,"score_gpt":0.2303825781346008,"score_spread":0.219738033935223,"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."}}