{"id":"W4287308855","doi":"10.1242/bio.059508","title":"First person – Avery Hinks","year":2022,"lang":"en","type":"article","venue":"Biology Open","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sarcomere; Biology; Function (biology); Selection (genetic algorithm); Medical education; Engineering ethics; Library science; Computer science; Artificial intelligence; Evolutionary biology; Myocyte; Medicine; Cell biology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008527854,0.0008856585,0.001115283,0.001422279,0.008242231,0.0067165,0.001083029,0.003302051,0.1407899],"category_scores_gemma":[0.05268166,0.0007784509,0.0003581718,0.0008611763,0.003040255,0.005179376,0.005117794,0.00940563,0.05914534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004761202,"about_ca_system_score_gemma":0.01080724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005064132,"about_ca_topic_score_gemma":0.007034252,"domain_scores_codex":[0.9866465,0.005398663,0.0005312919,0.002266648,0.004166221,0.0009905868],"domain_scores_gemma":[0.9395744,0.01143286,0.002644087,0.003551028,0.02312981,0.01966773],"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":[0.00007782529,0.000112308,0.0005099842,0.000131617,0.000007668484,0.0006249213,0.0105565,0.00003177201,0.001161941,0.003176027,0.954865,0.02874439],"study_design_scores_gemma":[0.00001080071,0.0000356756,0.000472086,0.0001368046,0.000002052447,0.0004677029,0.009508171,0.00006681685,0.0002427105,0.001036879,0.9879903,0.00003002529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.03455932,0.01213862,0.01885487,0.5608555,0.1372758,0.001203546,0.002691702,0.003418907,0.2290017],"genre_scores_gemma":[0.130575,0.002536442,0.007368871,0.1729188,0.007306046,0.001398881,0.0003910973,0.001820426,0.6756845],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8592101,"threshold_uncertainty_score":0.4709892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07293813547329944,"score_gpt":0.3240703512399992,"score_spread":0.2511322157666998,"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."}}