{"id":"W3203790825","doi":"10.1007/978-3-030-88113-9_5","title":"Valentino Braitenberg’s Table: Downhill Innovation of Vehicles via Darwinian Evolution","year":2021,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Darwinism; Darwin (ADL); Survivability; Exploit; Context (archaeology); Artificial intelligence; Computer security; Evolutionary biology; Geography; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.00101712,0.0002223776,0.0002864925,0.001347289,0.0005117532,0.0002930998,0.002586207,0.0001580907,0.00001408854],"category_scores_gemma":[0.00005193367,0.000242259,0.00004802279,0.002059274,0.000830419,0.006439583,0.002192651,0.0003842889,0.00002340083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001885896,"about_ca_system_score_gemma":0.0006346754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000229814,"about_ca_topic_score_gemma":0.000006611331,"domain_scores_codex":[0.9976974,0.00003591192,0.001102445,0.0003634146,0.0005674823,0.0002333925],"domain_scores_gemma":[0.9953879,0.0001559716,0.0006808236,0.002219277,0.001484596,0.00007139322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[7.12766e-7,0.00003167406,0.00007132363,0.00002856152,0.000005874233,1.488742e-7,0.0003536135,0.0002505154,0.00006144837,0.889196,0.0002184346,0.1097817],"study_design_scores_gemma":[0.0005669766,0.00008556979,0.01461017,0.0004689271,0.00001642255,0.00007367791,0.00004427879,0.752417,0.0001310371,0.06532662,0.1655843,0.0006750938],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001622093,0.0006778127,0.9121974,0.001304371,0.0002502056,0.0003692286,0.00004081583,0.00008402218,0.08491391],"genre_scores_gemma":[0.2805723,0.003493753,0.7088178,0.00129568,0.0001512464,0.0001208012,0.0007268875,0.00002914288,0.004792419],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8238693,"threshold_uncertainty_score":0.9879035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02460456043133582,"score_gpt":0.265462346005825,"score_spread":0.2408577855744891,"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."}}