{"id":"W4392259026","doi":"10.56885/scjh2385","title":"Building the framework: Developing an Ontario strategy for lower limb preservation","year":2021,"lang":"en","type":"article","venue":"Limb Preservation Journal","topic":"Musculoskeletal Disorders and Rehabilitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Physical medicine and rehabilitation; Business; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007516008,0.0001604807,0.0002149183,0.00008814479,0.0004997418,0.0002574075,0.0001746882,0.0001732353,0.0003910039],"category_scores_gemma":[0.001240638,0.0001146156,0.0001985818,0.0002927811,0.00004116789,0.00117913,0.00004682773,0.0005659646,0.0000033198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001948894,"about_ca_system_score_gemma":0.0008089493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000179818,"about_ca_topic_score_gemma":0.00187793,"domain_scores_codex":[0.9983249,0.0001400952,0.0005239747,0.0002640369,0.0004450014,0.0003020208],"domain_scores_gemma":[0.997935,0.0003302674,0.0002269387,0.0003389414,0.001032653,0.0001361762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.005768423,0.003286887,0.2013321,0.002404481,0.001606114,0.0001128502,0.02380191,0.02320752,0.0542504,0.5147148,0.02161358,0.1479009],"study_design_scores_gemma":[0.001969452,0.002017929,0.7424839,0.0005657254,0.0001711195,0.0001194888,0.002035273,0.009799577,0.0008795938,0.1645269,0.07504787,0.0003832087],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7728679,0.0002891056,0.2084318,0.01668829,0.000532262,0.0005265488,0.00000243524,0.000031634,0.0006300284],"genre_scores_gemma":[0.8651435,0.0001059887,0.1267849,0.002366632,0.0011479,0.00009123413,0.0001232686,0.00004800448,0.004188595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5411518,"threshold_uncertainty_score":0.467389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0708459689920779,"score_gpt":0.3608157233885282,"score_spread":0.2899697543964503,"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."}}