{"id":"W7014944237","doi":"","title":"REVIEW OF MODERN USE OF GENETIC AND EVOLUTIONARY ALGORITHMS. STRATEGIES, POSSIBILITIES (REVIEW ARTICLE)","year":2022,"lang":"uk","type":"article","venue":"The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy","topic":"Mechanics and Biomechanics Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Relevance (law); Adaptation (eye); Key (lock); Artificial neural network; Evolutionary algorithm; Genetic algorithm","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001343318,0.0003367459,0.0008516921,0.0002884881,0.0005817502,0.00004063223,0.0008506461,0.00009013023,0.001062759],"category_scores_gemma":[0.0002783879,0.0002984174,0.0002707336,0.0009164562,0.001092609,0.0004653338,0.001312261,0.000327114,0.000003706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193869,"about_ca_system_score_gemma":0.0006188623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003832032,"about_ca_topic_score_gemma":0.00007614383,"domain_scores_codex":[0.9961564,0.0004403882,0.0009387166,0.000557891,0.00153799,0.0003686021],"domain_scores_gemma":[0.9971595,0.0003313269,0.0005780912,0.0005308513,0.001300964,0.00009926419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009802677,0.002790687,0.000661228,0.1582752,0.002983803,0.0001093846,0.0197455,0.01203834,0.02585441,0.6866801,0.05949285,0.03038827],"study_design_scores_gemma":[0.003323753,0.004291058,0.006320754,0.02609153,0.003117575,0.0003958687,0.05518481,0.1147163,0.002564069,0.1918932,0.5887447,0.003356436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1452893,0.8406395,0.001024566,0.005182084,0.0009421783,0.001511792,0.004421466,0.00007328746,0.0009158181],"genre_scores_gemma":[0.5256583,0.4538333,0.003774637,0.0002527644,0.00009854591,0.00001447754,0.0002663063,0.00004482111,0.01605688],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5292519,"threshold_uncertainty_score":0.9999468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07785210866723377,"score_gpt":0.3049782028982112,"score_spread":0.2271260942309774,"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."}}