{"id":"W4253085510","doi":"10.24275/uami.f4752g76q","title":"Optimización convexa y métodos variacionales para estimar matrices origen destino","year":2019,"lang":"es","type":"dissertation","venue":"","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.002708207,0.002128841,0.001431087,0.001146018,0.0006723359,0.002789055,0.001417182,0.001449998,0.007031674],"category_scores_gemma":[0.008465924,0.0008425079,0.001644026,0.001335211,0.001079601,0.001822839,0.001579637,0.002699375,0.001505919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503408,"about_ca_system_score_gemma":0.002495364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01085783,"about_ca_topic_score_gemma":0.009983726,"domain_scores_codex":[0.9986449,0.000566813,0.00006877048,0.000276151,0.0003183429,0.0001250669],"domain_scores_gemma":[0.9976491,0.001386858,0.0001934402,0.0002301363,0.0004786062,0.00006174902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001582712,0.00005451407,0.001711393,0.0002956447,0.0001197315,0.00008910809,0.0001477849,0.86089,0.004781725,0.03463453,0.002514482,0.0946028],"study_design_scores_gemma":[0.000008617016,0.0000430498,0.0004339256,0.00003736638,0.00001431418,0.00002551945,0.00003831493,0.9880096,0.001474516,0.007498413,0.002402471,0.00001389851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006759015,0.0004068574,0.9900168,0.000216082,0.00003412757,0.0000357481,0.0001238136,0.0001999238,0.002207708],"genre_scores_gemma":[0.2619873,0.002072645,0.7188269,0.0002574362,0.0001672595,0.0005526636,0.0009383354,0.0005716159,0.01462591],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01085783,"threshold_uncertainty_score":0.02352333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02598322864552673,"score_gpt":0.3240322056331739,"score_spread":0.2980489769876472,"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."}}