{"id":"W4200039123","doi":"10.47460/athenea.v2i5.24","title":"Adaptive algorithms: a bibliographic review","year":2021,"lang":"en","type":"review","venue":"Athenea","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Solenoid valve; Algorithm; Computer science; Supervisory control; Engineering; Artificial intelligence; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001015905,0.001132883,0.001574882,0.004662163,0.000548405,0.002530477,0.001692061,0.001845535,0.01534825],"category_scores_gemma":[0.005864905,0.0005786303,0.0009204083,0.009268692,0.00072767,0.002641537,0.001183767,0.001803029,0.008729426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105449,"about_ca_system_score_gemma":0.002282561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004133866,"about_ca_topic_score_gemma":0.00243998,"domain_scores_codex":[0.9991947,0.0001399683,0.0001107671,0.0002026295,0.0002856137,0.00006626277],"domain_scores_gemma":[0.9970594,0.001744237,0.0001194774,0.0001785207,0.0008297728,0.0000686306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006749086,0.00006938109,0.000382337,0.01019286,0.0001177516,0.0001140437,0.00008690346,0.002796857,0.0003318948,0.01160303,0.09555389,0.8786835],"study_design_scores_gemma":[0.00001180116,0.00006468527,0.001084908,0.005481257,0.000165286,0.0006528992,0.00014566,0.002648361,0.0004070437,0.009495805,0.9797862,0.00005603508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004453832,0.9722871,0.009241435,0.001272981,0.001670571,0.00002534531,0.0002469197,0.0001588115,0.0146515],"genre_scores_gemma":[0.008348564,0.9721839,0.008785604,0.0009641132,0.002036329,0.00005852021,0.0008749733,0.0001134759,0.006634552],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9953378,"threshold_uncertainty_score":0.05134505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07343921277554878,"score_gpt":0.3050264145267972,"score_spread":0.2315872017512485,"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."}}