{"id":"W2801787755","doi":"10.1038/s41598-018-25262-6","title":"First anatomical network analysis of fore- and hindlimb musculoskeletal modularity in bonobos, common chimpanzees, and humans","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"European Commission; Royal Society; American Association of Anatomists; National Science Foundation","keywords":"Forelimb; Hindlimb; Modularity (biology); Biology; Anatomy; Neuroscience; Evolutionary biology","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":[0.0003896215,0.0002140155,0.0002650319,0.002485091,0.0004199396,0.0006414803,0.0002011635,0.0002675463,0.002345278],"category_scores_gemma":[0.0013572,0.0002025535,0.0003322297,0.001138474,0.0005907715,0.0005827225,0.0005949864,0.0001881317,0.0001866029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002601329,"about_ca_system_score_gemma":0.0001589314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003526123,"about_ca_topic_score_gemma":0.007892981,"domain_scores_codex":[0.9998035,0.00004942451,0.000009633696,0.00007434593,0.00003064258,0.00003251919],"domain_scores_gemma":[0.9993873,0.0001726513,0.0001866809,0.00006335466,0.00009585784,0.00009410298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008467238,0.00006017971,0.8184606,0.0002829688,0.0006886777,0.0005152004,0.002833583,0.0101014,0.0714151,0.008718168,0.001165241,0.08491202],"study_design_scores_gemma":[0.000006926224,0.000049718,0.9791574,0.00002283461,0.0000923339,0.0005025311,0.000540626,0.01342101,0.00105571,0.004038768,0.001096093,0.00001598705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906481,0.0003204395,0.006760865,0.0000637954,0.000003411481,0.00001040216,0.0003719623,0.00004039477,0.001780641],"genre_scores_gemma":[0.996344,0.0001083754,0.002858027,0.00001103074,0.000004025038,0.00001250488,0.0004269918,0.00001150851,0.0002233801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003526123,"threshold_uncertainty_score":0.0078457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302016835469372,"score_gpt":0.2996390694867979,"score_spread":0.2766189011321041,"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."}}