{"id":"W4241482223","doi":"10.1007/978-3-030-49500-8","title":"Second International Conference on Networks and Advances in Computational Technologies","year":2021,"lang":"en","type":"book","venue":"Transactions on computational science and computational intelligence","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Computational biology; Biology","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003121157,0.0005069717,0.0005559903,0.002180033,0.0008348927,0.001619078,0.001616261,0.0002118844,0.0007457104],"category_scores_gemma":[0.0004645954,0.0004735219,0.0001152164,0.001891258,0.002041891,0.001011031,0.0002188488,0.0008341832,0.000116691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00041243,"about_ca_system_score_gemma":0.001218818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005342829,"about_ca_topic_score_gemma":0.00006294066,"domain_scores_codex":[0.9916042,0.000130108,0.001259411,0.002309775,0.00421398,0.0004825327],"domain_scores_gemma":[0.9935275,0.003253984,0.0004843305,0.0005205743,0.00201686,0.0001968012],"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":[0.00002908286,0.00009522305,0.000013107,0.000009370421,0.00001618635,0.00001674307,0.0001108744,0.6665846,2.758453e-7,0.1352813,0.0009940327,0.1968493],"study_design_scores_gemma":[0.0001555684,0.00009669407,0.0005083878,0.0001822348,0.000007878978,0.00003847803,0.0004778975,0.6093812,0.000003367019,0.3809735,0.007848879,0.0003258925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003222909,0.0007643173,0.9339933,0.003374111,0.001446136,0.0004637651,0.0002486684,0.0001491429,0.05923829],"genre_scores_gemma":[0.9371251,0.0007473587,0.02394286,0.001613818,0.0001374848,0.00007270348,0.0003937053,0.00004545134,0.03592151],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9368028,"threshold_uncertainty_score":0.9997717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09785554649611282,"score_gpt":0.3810516554012489,"score_spread":0.2831961089051361,"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."}}