{"id":"W1527227975","doi":"10.1007/978-3-642-12148-7_5","title":"Novelty-Based Fitness: An Evaluation under the Santa Fe Trail","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Novelty; Computer science; Artificial intelligence; Psychology","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":[0.003832418,0.0006209254,0.001147642,0.001291972,0.001073299,0.001543798,0.001475346,0.001924787,0.003137225],"category_scores_gemma":[0.01349278,0.0002539607,0.0006160779,0.001181972,0.0009523148,0.001526224,0.001090479,0.0008007781,0.0002744047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001381192,"about_ca_system_score_gemma":0.0009764917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003539361,"about_ca_topic_score_gemma":0.004990045,"domain_scores_codex":[0.9986407,0.0005316925,0.00005472276,0.0001141741,0.000547657,0.0001109792],"domain_scores_gemma":[0.9942707,0.00370681,0.0002159151,0.0006087248,0.0009993874,0.0001983954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002366327,0.000600166,0.008453634,0.0002569493,0.0002958221,0.0001944548,0.0001937473,0.5202797,0.003888169,0.04824937,0.004906718,0.4103149],"study_design_scores_gemma":[0.0001756614,0.0006799579,0.0024975,0.00003956871,0.0001254329,0.0001384361,0.00004132766,0.9863858,0.001037047,0.007561161,0.001301171,0.00001699079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6548684,0.003573682,0.2948868,0.001829203,0.000413207,0.0002661503,0.0002196734,0.0007975494,0.0431453],"genre_scores_gemma":[0.9421405,0.00036205,0.0513983,0.000100812,0.00006183629,0.00005392619,0.0001199094,0.00008416684,0.005678404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003832418,"threshold_uncertainty_score":0.02026796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03461303463023035,"score_gpt":0.2889469384392161,"score_spread":0.2543339038089858,"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."}}