{"id":"W2944147835","doi":"10.5539/ijb.v11n3p16","title":"Quantitative Phenomics of Growth and Size in Animals","year":2019,"lang":"en","type":"article","venue":"International Journal of Biology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ontogeny; Trait; Novelty; Phenotype; Transformation (genetics); Biology; Phenomics; Phenotypic trait; Biological system; Mathematics; Evolutionary biology; Computer science; Genetics; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004466401,0.0002536367,0.0003052797,0.0004314871,0.0001496491,0.000584809,0.0004165165,0.0004347815,0.001002608],"category_scores_gemma":[0.0009095983,0.0001516614,0.0004939729,0.0003483528,0.0006840879,0.0004852724,0.0003410178,0.0003139832,0.0001705672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005288281,"about_ca_system_score_gemma":0.0003419831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001323887,"about_ca_topic_score_gemma":0.0006595493,"domain_scores_codex":[0.9998127,0.00006719174,0.000005422468,0.00006540492,0.00003393674,0.00001542864],"domain_scores_gemma":[0.9996711,0.0001977373,0.00006323682,0.00003010033,0.00002268643,0.00001515765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000928025,0.0001105929,0.01976298,0.0002431988,0.0001474556,0.0003652532,0.0003789873,0.3930941,0.08615361,0.4439887,0.001322144,0.05434024],"study_design_scores_gemma":[0.00001040774,0.0001229649,0.02006941,0.00001845705,0.00003217476,0.0003098003,0.00007171786,0.8535467,0.003665668,0.1157831,0.006333575,0.00003612103],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1752719,0.001075558,0.8144598,0.0005579758,0.00007555492,0.00003530637,0.0005501104,0.0001994056,0.007774286],"genre_scores_gemma":[0.9079553,0.001036743,0.08222726,0.0001460674,0.00006831177,0.0001846116,0.0003189918,0.00006186522,0.008000817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001323887,"threshold_uncertainty_score":0.00383693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009899546166952466,"score_gpt":0.2795440946977659,"score_spread":0.2696445485308134,"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."}}