{"id":"W4396601846","doi":"10.1002/9781119858430.ch27","title":"Conclusions: State of the Art and Prospects","year":2024,"lang":"en","type":"other","venue":"","topic":"Artificial Immune Systems Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"State (computer science); Computer science; Data science; Cognitive science; Psychology; Programming language","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":[0.006771851,0.0009180366,0.001113789,0.001337418,0.001373756,0.007581315,0.003110201,0.008568817,0.07339611],"category_scores_gemma":[0.01767159,0.0003118246,0.001550031,0.001655723,0.00253788,0.009685109,0.003462331,0.009243208,0.03799312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003024605,"about_ca_system_score_gemma":0.00745107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002762462,"about_ca_topic_score_gemma":0.002945667,"domain_scores_codex":[0.9970121,0.0008325212,0.0002331104,0.0003932242,0.001041731,0.0004872991],"domain_scores_gemma":[0.9890237,0.003077343,0.0005313131,0.0004396928,0.005117957,0.001810064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009253707,0.00005533519,0.0002094304,0.00267559,0.00002084308,0.0001854217,0.0001575859,0.0002302574,0.0002204285,0.02252102,0.6792872,0.2943445],"study_design_scores_gemma":[0.000009636768,0.00002468971,0.0001760338,0.002993135,0.00001095404,0.0002267016,0.0002802562,0.00005478033,0.00006896912,0.01118795,0.9849531,0.00001384353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"editorial","genre_scores_codex":[0.0007364962,0.4308853,0.003851961,0.386819,0.1185343,0.00008944589,0.0007048412,0.00043097,0.05794772],"genre_scores_gemma":[0.01126143,0.5816868,0.008329751,0.2340592,0.05463265,0.0002776154,0.001851929,0.000455339,0.1074452],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.07339611,"threshold_uncertainty_score":0.2455345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006559970807539115,"score_gpt":0.2176208027262604,"score_spread":0.2110608319187213,"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."}}