{"id":"W6931452319","doi":"10.5281/zenodo.6350755","title":"Epigenetic induction may speed up or slow down speciation with gene flow: code and data","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cardiac Ischemia and Reperfusion","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Genetic algorithm; Epigenetics; Inheritance (genetic algorithm); Selection (genetic algorithm); Population; Gene flow; Natural selection; Adaptation (eye); Ecological speciation","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":[0.0008200943,0.0002898584,0.0004977413,0.0005292577,0.0003697035,0.0007291534,0.0008832861,0.0005679771,0.005498915],"category_scores_gemma":[0.007695721,0.0001562786,0.0005218116,0.0006406613,0.0007107374,0.001004159,0.0005446092,0.0005891339,0.0005232194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006819505,"about_ca_system_score_gemma":0.0003471379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004760361,"about_ca_topic_score_gemma":0.004315597,"domain_scores_codex":[0.9996529,0.0001179473,0.00002763926,0.00009376594,0.00007495882,0.00003281518],"domain_scores_gemma":[0.9950801,0.002892727,0.0005137729,0.0009166289,0.0003881097,0.0002086327],"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":[0.001758788,0.0004571638,0.0991412,0.0005309355,0.0002512907,0.0004976836,0.0003003938,0.7405833,0.03869868,0.05830258,0.009462813,0.05001503],"study_design_scores_gemma":[0.0001084414,0.0001285344,0.0205378,0.00001644775,0.00004604678,0.0001868081,0.00004444476,0.9386328,0.01007293,0.02683173,0.003341058,0.00005294638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9281896,0.0007144512,0.05467272,0.0007490141,0.00007019516,0.00004553503,0.003097439,0.0008251969,0.01163582],"genre_scores_gemma":[0.98818,0.0002352068,0.008434563,0.00006744478,0.00001246327,0.00003534506,0.001377869,0.0001834635,0.001473507],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005498915,"threshold_uncertainty_score":0.01839572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04598649819155732,"score_gpt":0.2736838433661545,"score_spread":0.2276973451745972,"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."}}