{"id":"W2791143044","doi":"10.1111/evo.13447","title":"Artificial selection sheds light on developmental mechanisms of limb elongation","year":2018,"lang":"en","type":"article","venue":"Evolution","topic":"Congenital heart defects research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Biology; Intraspecific competition; Limb development; Context (archaeology); Long bone; Bone growth; Chondrocyte; Evolutionary biology; Population; Anatomy; Selection (genetic algorithm); Genetics; Ecology; Cartilage; Embryo; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005735442,0.0003145081,0.0002905296,0.0003606421,0.0002333894,0.0004318113,0.0003381957,0.0002906628,0.0009010913],"category_scores_gemma":[0.0007455674,0.0002072774,0.0002281316,0.0002146991,0.0008619637,0.0003015976,0.0006802343,0.0006372957,0.000118694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002487743,"about_ca_system_score_gemma":0.0001511457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001274952,"about_ca_topic_score_gemma":0.0003854936,"domain_scores_codex":[0.9996237,0.0001377432,0.00003093271,0.00008466292,0.00009120774,0.00003178777],"domain_scores_gemma":[0.9993,0.0003537322,0.000149316,0.000123932,0.00002505524,0.00004808348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001575171,0.00002443024,0.004333918,0.0000901026,0.00005087967,0.0001457347,0.0001135527,0.002343172,0.9631411,0.007164124,0.00009471794,0.02234071],"study_design_scores_gemma":[0.0001423862,0.001447474,0.1828914,0.0001016459,0.0003906366,0.002822076,0.0003742664,0.06154009,0.6954255,0.01607346,0.03862087,0.0001701392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597166,0.001077438,0.03397338,0.0002809997,0.00005845981,0.00002149636,0.0001355527,0.0001469326,0.004589202],"genre_scores_gemma":[0.9876096,0.0009954878,0.009654545,0.0001823194,0.00004725294,0.00003675885,0.00009914067,0.00006477976,0.001310144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009010913,"threshold_uncertainty_score":0.003033221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208369471829467,"score_gpt":0.2708992203612138,"score_spread":0.2588155256429191,"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."}}