{"id":"W2955352229","doi":"10.1242/dev.167486","title":"Cell competition: the winners and losers of fitness selection","year":2019,"lang":"en","type":"review","venue":"Development","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Rosetrees Trust; Medical Research Council Canada; British Heart Foundation; European Molecular Biology Organization","keywords":"Biology; Competition (biology); Selection (genetic algorithm); Evolutionary biology; Genetics; Computational biology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008907744,0.001024466,0.001697219,0.002457451,0.0004735637,0.002035829,0.001426154,0.002009449,0.003402824],"category_scores_gemma":[0.000959981,0.0003361582,0.0004364365,0.002241032,0.001455991,0.002400678,0.001195463,0.002191656,0.002347724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597001,"about_ca_system_score_gemma":0.001403776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367888,"about_ca_topic_score_gemma":0.001754813,"domain_scores_codex":[0.9996617,0.00007528676,0.00003863868,0.00007007385,0.000111607,0.00004273499],"domain_scores_gemma":[0.9995683,0.000243824,0.00005001829,0.00001391807,0.00007514487,0.00004871199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006263367,0.00003762816,0.0002883169,0.008999376,0.0000748688,0.0002457716,0.000128338,0.0003857659,0.001238158,0.01950922,0.03376111,0.9352688],"study_design_scores_gemma":[0.000006620825,0.0000445874,0.0006618168,0.002229402,0.00004462739,0.0009380209,0.00009027498,0.00009270524,0.0003547924,0.009550761,0.9859628,0.00002349817],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000766119,0.9978547,0.000246932,0.0004399737,0.0002256642,0.000002622158,0.00001250327,0.000008728032,0.00113233],"genre_scores_gemma":[0.0008916624,0.9975976,0.0001962286,0.0002943567,0.0002094004,0.000005888394,0.00002073219,0.000002646597,0.00078147],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003402824,"threshold_uncertainty_score":0.01158714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910519770175901,"score_gpt":0.2748953315218693,"score_spread":0.2557901338201103,"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."}}