{"id":"W4242334047","doi":"10.3934/dcdss.201806i","title":"Preface","year":2018,"lang":"en","type":"article","venue":"Discrete and Continuous Dynamical Systems - S","topic":"Optimization and Variational Analysis","field":"Computer Science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001391908,0.00009540882,0.0001666496,0.00004746393,0.0001372096,0.000274728,0.0002668599,0.00005334306,0.00001638398],"category_scores_gemma":[0.00002248002,0.0000742886,0.00004446346,0.0002175784,0.00005462138,0.0002285882,0.0001154317,0.0000485945,0.00003826742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001399566,"about_ca_system_score_gemma":0.00001278444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001444893,"about_ca_topic_score_gemma":0.00001706057,"domain_scores_codex":[0.9991105,0.00006311391,0.0001964578,0.0002852672,0.0001784224,0.0001661989],"domain_scores_gemma":[0.9994453,0.00003356008,0.0000682727,0.0002367128,0.0001143756,0.0001017971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009203034,0.00004186138,0.004047193,0.00001952806,0.00009707214,0.000005194276,0.0005204887,0.0002117576,0.0003139485,0.9874951,0.0008159113,0.006422731],"study_design_scores_gemma":[0.0001997942,0.00006930998,0.003129373,0.0000152954,0.00001341405,0.0000110759,0.00004813281,0.9893987,0.00001076355,0.0006917099,0.006262222,0.0001502493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02022472,0.0001436872,0.968356,0.0009351649,0.0002712856,0.0001278967,0.000006350065,0.0001391049,0.009795753],"genre_scores_gemma":[0.9933565,0.000008057441,0.002935723,0.0001693195,0.0001239076,0.000009940792,0.000008230746,0.000005032957,0.003383344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9891869,"threshold_uncertainty_score":0.3029401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005531944240292023,"score_gpt":0.2238596959373682,"score_spread":0.2183277516970762,"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."}}