{"id":"W2059952830","doi":"10.1080/10798587.2014.906377","title":"Anniversary Editorial–<i>Intelligent Automation and Soft Computing</i>is Twenty Years Old","year":2014,"lang":"en","type":"article","venue":"Intelligent Automation & Soft Computing","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Centennial; Medal; Gold medal; China; Management; Computer science; Operations research; Art history; Engineering; Political science; History; Law; Archaeology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001744136,0.0003836699,0.0004081242,0.0004197871,0.0005096814,0.0008561487,0.0009084067,0.0002201971,0.00005866417],"category_scores_gemma":[0.0003270249,0.0004206735,0.000152917,0.0007565587,0.0001201476,0.0008521029,0.0006995674,0.0004052702,0.0003326283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001862477,"about_ca_system_score_gemma":0.0001120831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005705714,"about_ca_topic_score_gemma":0.000004483657,"domain_scores_codex":[0.9961416,0.0003494439,0.0009461317,0.000893004,0.001017986,0.0006519035],"domain_scores_gemma":[0.9973887,0.0006352272,0.0005339803,0.0006380579,0.0004932428,0.0003107767],"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":[0.0000175506,0.0002987026,0.002627918,0.0002121654,0.0001259427,0.000009164004,0.01866768,0.1565295,0.0005233806,0.02506156,0.04619665,0.7497298],"study_design_scores_gemma":[0.0003510235,0.0001180601,0.001592539,0.0001521291,0.00001360542,0.00001408696,0.0001221112,0.9465828,0.001618715,0.001614958,0.04739076,0.0004292044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01796271,0.00008599507,0.9690741,0.0009522939,0.009275211,0.0005351476,0.000005033756,0.001497097,0.0006123504],"genre_scores_gemma":[0.8932676,0.00006256545,0.09995881,0.001782254,0.004452909,0.000007771013,0.00005276372,0.00005966387,0.0003556442],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8753049,"threshold_uncertainty_score":0.9998245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597650208399992,"score_gpt":0.2631350015306489,"score_spread":0.247158499446649,"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."}}