{"id":"W3018590582","doi":"10.1080/03155986.2020.1733249","title":"Preface to the special issue of INFOR on “continuous optimization and applications in machine learning and data analytics”","year":2020,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytics; Computer science; Data science; Data analysis; Artificial intelligence; Machine learning; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006357199,0.00007308717,0.000112267,0.0001721082,0.0001405717,0.0002466303,0.0001620221,0.00004352839,0.000008201921],"category_scores_gemma":[0.0003894414,0.00005680537,0.000003812423,0.0003243835,0.00004379839,0.001253078,0.0001839097,0.0001988388,0.000006299356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002275744,"about_ca_system_score_gemma":0.00003162308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005038227,"about_ca_topic_score_gemma":0.00001573751,"domain_scores_codex":[0.9991426,0.00002346682,0.0003443213,0.00009113168,0.0002933196,0.0001050854],"domain_scores_gemma":[0.9994456,0.0001365211,0.00004021329,0.0001397242,0.0001737877,0.00006413845],"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":[0.00003885672,0.000005395741,0.001482421,0.000363511,0.00001331523,1.498358e-7,0.00295929,0.9560973,0.00003757214,0.007761177,0.004126149,0.02711486],"study_design_scores_gemma":[0.0001177326,0.00004410519,0.000195665,0.00003019445,0.000001046867,0.000001346489,0.0006582826,0.6452726,0.00006038124,0.000006173255,0.3535632,0.00004928276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01450652,0.001164321,0.9552898,0.004072634,0.000114864,0.005424789,0.001501844,0.0002822154,0.01764304],"genre_scores_gemma":[0.982722,0.001155502,0.01303337,0.0003011188,0.0006242221,0.0002792844,0.001735106,0.00002189918,0.000127481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9682155,"threshold_uncertainty_score":0.2378262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05688774983113967,"score_gpt":0.3581630548255409,"score_spread":0.3012753049944012,"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."}}