{"id":"W4238404478","doi":"10.1007/s11228-017-0466-z","title":"Preface","year":2017,"lang":"en","type":"article","venue":"Set-Valued and Variational Analysis","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.0004181795,0.00013531,0.0002468095,0.0003009583,0.001022384,0.0008354694,0.0007179915,0.00006234321,0.0002653595],"category_scores_gemma":[0.0001673696,0.0001186615,0.0001916851,0.0005798661,0.00004457064,0.0008762715,0.0002612226,0.00007400694,0.00005003643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002368954,"about_ca_system_score_gemma":0.0000579307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001879679,"about_ca_topic_score_gemma":0.00004216869,"domain_scores_codex":[0.9986521,0.00006827807,0.0002533269,0.0004431797,0.0004146038,0.0001685268],"domain_scores_gemma":[0.9985963,0.00006976526,0.0002821321,0.0006992621,0.0002278635,0.0001246858],"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":[0.000004306242,0.00004665817,0.02368946,0.000003507864,0.00125674,0.000001876262,0.0002462027,0.01352779,0.00002770019,0.9593303,0.0002447064,0.001620729],"study_design_scores_gemma":[0.0002009853,0.000007876693,0.2606359,0.00000169801,0.000366025,0.000001066387,0.00000661982,0.7256468,0.00000957732,0.01231944,0.000672235,0.0001317841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002412071,0.000047626,0.9857342,0.006525971,0.00009448854,0.00005831213,0.00002347879,0.00006998894,0.005033827],"genre_scores_gemma":[0.9123278,0.00003528078,0.08425213,0.0004918324,0.0001018822,0.000009910956,0.00007784409,0.00000511678,0.002698163],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9470109,"threshold_uncertainty_score":0.8056451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125071355839598,"score_gpt":0.2790753072660079,"score_spread":0.2578245937076119,"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."}}