{"id":"W7139464087","doi":"","title":"ОГЛЯД СУЧАСНОГО ВИКОРИСТАННЯ ГЕНЕТИЧНИХ ТА ЕВОЛЮЦІЙНИХ АЛГОРИТМІВ. СТРАТЕГІЇ, МОЖЛИВОСТІ (ОГЛЯДОВА СТАТТЯ)","year":2022,"lang":"uk","type":"other","venue":"The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Relevance (law); Adaptation (eye); Artificial neural network; Key (lock); Genetic algorithm; Scientific modelling","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001618137,0.0004538192,0.0004110705,0.002094396,0.001818283,0.004465553,0.0007111162,0.001346541,0.03672795],"category_scores_gemma":[0.005422138,0.0005494292,0.0005299905,0.002646673,0.003615503,0.002729796,0.001746547,0.002279307,0.01086808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001891061,"about_ca_system_score_gemma":0.003404291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003810387,"about_ca_topic_score_gemma":0.004819707,"domain_scores_codex":[0.9978347,0.0004372252,0.0001355682,0.0003484672,0.001077964,0.0001660146],"domain_scores_gemma":[0.9979076,0.0007618671,0.0002291785,0.0003322633,0.0006154535,0.0001535332],"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":[0.00008376557,0.0000515355,0.0009310392,0.0004563233,0.0000208203,0.0006708285,0.001622047,0.001198145,0.005308812,0.7792324,0.02082524,0.189599],"study_design_scores_gemma":[0.00002295007,0.00005778172,0.001955295,0.0003386631,0.0000307569,0.001241675,0.0009951252,0.001296865,0.003523006,0.194698,0.7957766,0.00006322672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.03642963,0.03861552,0.1841731,0.01249519,0.006137465,0.0003211849,0.001059533,0.0005757483,0.7201926],"genre_scores_gemma":[0.558796,0.04266341,0.1812792,0.001954021,0.002186374,0.0008472889,0.0009220556,0.0007428551,0.2106087],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03672795,"threshold_uncertainty_score":0.1228672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0802838985559229,"score_gpt":0.3424549771851171,"score_spread":0.2621710786291942,"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."}}