{"id":"W6930357521","doi":"10.5281/zenodo.11798249","title":"back mechanic stuart mcgill pdf reddit","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Back pain; Back muscles; Back injury; Power (physics)","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":["insufficient_payload"],"category_scores_codex":[0.0005154283,0.00130658,0.0009622144,0.002112367,0.001831445,0.006848154,0.002276645,0.001996042,0.9308701],"category_scores_gemma":[0.004054295,0.0007696222,0.0008176889,0.00142273,0.0006550661,0.004224402,0.002816552,0.002308003,0.8888549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346918,"about_ca_system_score_gemma":0.001620273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006662257,"about_ca_topic_score_gemma":0.01850012,"domain_scores_codex":[0.9993333,0.00003092443,0.00002040696,0.00008818806,0.0004490629,0.00007804547],"domain_scores_gemma":[0.9974837,0.0002452028,0.00006268316,0.0002393368,0.001355147,0.0006140867],"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":[0.00001886419,0.00001183492,0.00001813158,0.0000723991,8.846285e-7,0.00003785154,0.00001456937,0.00002133743,0.0002800568,0.0006056817,0.9756489,0.02326947],"study_design_scores_gemma":[0.00000693815,0.00001386914,0.0001315258,0.00005373844,0.000001874704,0.0000619261,0.00003728308,0.00003987474,0.0002253588,0.000268293,0.9991515,0.000007870026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002301798,0.0008157814,0.0009644041,0.001356764,0.003397504,0.000135764,0.002156253,0.005075925,0.9858674],"genre_scores_gemma":[0.000543879,0.000265549,0.0002381676,0.000497903,0.0002118201,0.00002262679,0.0005022921,0.001016775,0.9967011],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06912994,"threshold_uncertainty_score":0.09860539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02749553928338503,"score_gpt":0.2439858223956027,"score_spread":0.2164902831122176,"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."}}