{"id":"W4249098611","doi":"10.1016/j.procs.2018.07.136","title":"Keynote II","year":2018,"lang":"es","type":"article","venue":"Procedia Computer Science","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","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":["sts"],"category_scores_codex":[0.001939066,0.0004512646,0.0003446752,0.0006942376,0.002160398,0.001311791,0.003347291,0.0001080765,0.0001308917],"category_scores_gemma":[0.0002823329,0.0004324384,0.00009036226,0.00546572,0.007162166,0.001958662,0.003379952,0.0003020336,0.02434988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002796679,"about_ca_system_score_gemma":0.001695611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001726711,"about_ca_topic_score_gemma":0.00000434771,"domain_scores_codex":[0.9943401,0.00004734357,0.0004583797,0.001750925,0.001793982,0.001609303],"domain_scores_gemma":[0.9962239,0.00006758602,0.0002886341,0.001115059,0.001635605,0.0006691699],"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":[0.0003050258,0.002142891,0.0484484,0.0006042676,0.0001184256,0.0001070831,0.03962066,0.0002065163,0.1973559,0.06976456,0.1066364,0.5346898],"study_design_scores_gemma":[0.001187376,0.002717408,0.08254525,0.0005580531,0.00005776679,0.0002261356,0.00001778166,0.7077431,0.08684416,0.002471097,0.1139634,0.001668432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9095622,0.0003131215,0.07138338,0.001334765,0.007394012,0.0007338915,0.0000347882,0.0008758947,0.008367917],"genre_scores_gemma":[0.921513,0.00001187326,0.07298939,0.0008933492,0.004312555,0.00001193463,0.000001266773,0.00006693009,0.000199756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7075366,"threshold_uncertainty_score":0.9998127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149131218892286,"score_gpt":0.2746807701088901,"score_spread":0.2597676482196615,"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."}}