{"id":"W88413441","doi":"10.1007/978-3-642-34859-4_6","title":"The Emergence of New Genes in EcoSim and Its Effect on Fitness","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005744168,0.0003227555,0.0004862904,0.0003969432,0.0005411769,0.001295469,0.0005337844,0.0006977976,0.004507128],"category_scores_gemma":[0.006771389,0.0001977073,0.0003866317,0.0004320831,0.001195731,0.00150217,0.0009820146,0.001246671,0.0002477759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003740869,"about_ca_system_score_gemma":0.0002033608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006123912,"about_ca_topic_score_gemma":0.000873843,"domain_scores_codex":[0.9998344,0.00006607435,0.000006675571,0.00003637309,0.00003187693,0.00002463557],"domain_scores_gemma":[0.9975528,0.001827415,0.0001527029,0.0001503507,0.0001361331,0.0001806121],"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":[0.0008966818,0.0002630182,0.02449031,0.0005756636,0.0002304021,0.001369378,0.002307921,0.2714003,0.08229925,0.4440251,0.004677725,0.1674642],"study_design_scores_gemma":[0.0001251964,0.0004172669,0.03425111,0.00009440504,0.0001711312,0.001219373,0.001148872,0.4678917,0.01152295,0.4768228,0.006201135,0.0001340791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567128,0.00142559,0.02510655,0.0008818072,0.0001025571,0.000007919691,0.0000752132,0.0001693944,0.01551819],"genre_scores_gemma":[0.9926862,0.000306625,0.005167735,0.00006398062,0.00002165583,0.00000940417,0.00002269945,0.00007028036,0.001651474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004507128,"threshold_uncertainty_score":0.01507783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416763750871406,"score_gpt":0.265388115327455,"score_spread":0.241220477818741,"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."}}