{"id":"W2039644244","doi":"10.1186/2044-5040-4-3","title":"Skeletal muscle’s 3rd year anniversary","year":2014,"lang":"en","type":"article","venue":"Skeletal Muscle","topic":"Genetics and Physical Performance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Computer science","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":[0.001829455,0.001146162,0.0008045263,0.00191898,0.001723562,0.00521746,0.00128869,0.003357813,0.04957145],"category_scores_gemma":[0.003756224,0.0004025219,0.0008230198,0.0007486074,0.0013767,0.00245107,0.004100369,0.005085897,0.04293327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182017,"about_ca_system_score_gemma":0.001206052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001490176,"about_ca_topic_score_gemma":0.003772896,"domain_scores_codex":[0.999241,0.00006984199,0.00004024021,0.000146305,0.0003597848,0.0001428367],"domain_scores_gemma":[0.997947,0.0001309804,0.0001023207,0.000146636,0.0006561003,0.001016921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000731622,0.00001504336,0.0001418658,0.0001410744,0.00001314295,0.0001079698,0.0000478388,0.0000605506,0.0008216882,0.006498363,0.9469565,0.04512286],"study_design_scores_gemma":[0.000002842231,0.0000218128,0.0003104987,0.00007114963,0.000004624506,0.0001077133,0.00002008476,0.00002079712,0.0001797453,0.001255709,0.998,0.000004902952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.003808277,0.1194895,0.003084875,0.1389684,0.5979297,0.00005834227,0.002090876,0.0009792905,0.1335907],"genre_scores_gemma":[0.02705109,0.07029364,0.002644219,0.03750509,0.1930996,0.0001130177,0.00272756,0.0006101601,0.6659556],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04957145,"threshold_uncertainty_score":0.1658331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005704821504491925,"score_gpt":0.2147354114912541,"score_spread":0.2090305899867622,"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."}}