{"id":"W2002489486","doi":"10.1177/01939450022044872","title":"Bearing Illness and Injury","year":2000,"lang":"en","type":"article","venue":"Western Journal of Nursing Research","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bearing (navigation); Medicine; Psychology; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001586656,0.00005404811,0.0001644225,0.0002542972,0.0001159104,0.00003830497,0.00006137776,0.00005251188,0.0001383289],"category_scores_gemma":[0.0001527334,0.0000397588,0.00005403099,0.000180725,0.0002764943,0.0001214914,0.000007847539,0.0004718946,0.00001592583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000903379,"about_ca_system_score_gemma":0.00006685448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004775539,"about_ca_topic_score_gemma":4.706148e-7,"domain_scores_codex":[0.9987612,0.0001702758,0.0002350457,0.00009038707,0.0005426923,0.0002003399],"domain_scores_gemma":[0.9992763,0.0001582378,0.00003607462,0.0001104013,0.0002381974,0.0001807556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006291257,0.0002256517,0.02888184,0.0001841372,0.00002134244,0.00002863107,0.00349502,0.000003496523,0.01884876,0.00003049474,0.0008016967,0.9468498],"study_design_scores_gemma":[0.001662967,0.00287577,0.9787038,0.005555802,0.00003162799,0.0006475196,0.002195684,0.00008171853,0.001303741,0.00253998,0.004272855,0.0001285219],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920442,0.000565434,0.00002597668,0.003217194,0.00008935068,0.0001069854,2.546143e-7,0.000005358017,0.00394528],"genre_scores_gemma":[0.9977083,0.0001419516,0.0002942653,0.00003774117,0.0002738466,7.030217e-7,3.952581e-7,0.00001112689,0.001531636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9498219,"threshold_uncertainty_score":0.2050174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05495712313031334,"score_gpt":0.4376289735990029,"score_spread":0.3826718504686896,"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."}}