{"id":"W4289523616","doi":"10.1101/2022.07.30.502152","title":"Functional morphological innovation corresponds to shifting lines of genetic least resistance","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Diversification (marketing strategy); Evolutionary biology; Biology; Genetic architecture; Context (archaeology); Phylogenetic tree; Phenotype; Morphology (biology); Evolutionary dynamics; Genetics; Gene; Paleontology","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":[0.0004270149,0.0002770046,0.0004250139,0.001261536,0.0003996418,0.001023947,0.0005991557,0.0006954315,0.005299316],"category_scores_gemma":[0.001421694,0.0003102151,0.0003859032,0.0007521018,0.0009347123,0.0004889328,0.001023327,0.0008494204,0.0006867988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000378587,"about_ca_system_score_gemma":0.0001335162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003418098,"about_ca_topic_score_gemma":0.0004605662,"domain_scores_codex":[0.9996432,0.00006113808,0.00002165206,0.000155555,0.0000582623,0.00006010768],"domain_scores_gemma":[0.9989429,0.0002160187,0.000356229,0.0002059551,0.0001278691,0.0001510511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006168596,0.0001357803,0.1473538,0.0001754465,0.0002842192,0.0009117872,0.0008877595,0.005522403,0.7983553,0.005615457,0.0004523326,0.03968885],"study_design_scores_gemma":[0.00005354151,0.0003303705,0.9269665,0.0000373929,0.0001118642,0.00209431,0.000616341,0.02126596,0.03673214,0.008050297,0.00365452,0.00008677253],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951014,0.00006989743,0.003080749,0.00004987342,0.000004399456,0.000005512327,0.0001114926,0.00007825714,0.001498449],"genre_scores_gemma":[0.998064,0.00003475109,0.001189393,0.0000330647,0.000005029377,0.000008521043,0.0001402419,0.00003080097,0.0004942989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005299316,"threshold_uncertainty_score":0.01772803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03146549204584493,"score_gpt":0.2274642027672987,"score_spread":0.1959987107214538,"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."}}