{"id":"W1868999305","doi":"","title":"Las redes de neuronas en el diseño de medicamentos","year":2009,"lang":"es","type":"article","venue":"Ciencias (México, D.F.)","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Philosophy; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001128138,0.0006606602,0.0005599014,0.0005700771,0.0006138465,0.001908724,0.0007153756,0.001586605,0.004501806],"category_scores_gemma":[0.002420422,0.000280059,0.0005724538,0.0006273011,0.001118809,0.001540302,0.0006669212,0.001284253,0.001108881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001252847,"about_ca_system_score_gemma":0.0008885331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005051747,"about_ca_topic_score_gemma":0.005597563,"domain_scores_codex":[0.9996446,0.00008235242,0.00002569685,0.00006716468,0.0001268658,0.00005315653],"domain_scores_gemma":[0.9993485,0.0001710366,0.00006580359,0.00006281341,0.0003087697,0.00004312958],"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":[0.001712513,0.0002901517,0.006053132,0.001115549,0.0001483313,0.001379628,0.0009693138,0.020416,0.05073653,0.05821074,0.007154292,0.8518139],"study_design_scores_gemma":[0.00102003,0.003458473,0.0623971,0.002576531,0.001345732,0.01011491,0.004422805,0.1442281,0.166505,0.2462807,0.3572875,0.0003631405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.564612,0.1031494,0.1937773,0.01346104,0.003280938,0.0002725608,0.000882586,0.001609593,0.1189546],"genre_scores_gemma":[0.8940553,0.03264958,0.04230117,0.000718537,0.0004413584,0.0001357035,0.0002513717,0.00006289066,0.02938402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005051747,"threshold_uncertainty_score":0.01506007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167338092218911,"score_gpt":0.2712563460853172,"score_spread":0.2595829651631281,"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."}}