{"id":"W6902143519","doi":"10.6084/m9.figshare.17870718","title":"Additional file 1 of Trends of limb amputation considering type, level, sex and age in Saskatchewan, Canada 2006–2019: an in-depth assessment","year":2022,"lang":"en","type":"article","venue":"Open MIND","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Amputation; Lower limb amputation; Artificial limbs; MEDLINE; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007853972,0.0005349791,0.0007737012,0.002860209,0.001195604,0.0008319186,0.001497443,0.0006058164,0.4700197],"category_scores_gemma":[0.01381732,0.0003841046,0.0006783307,0.007853001,0.0002404459,0.0009914227,0.0007576878,0.0007322461,0.02882826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005483278,"about_ca_system_score_gemma":0.01366354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7226367,"about_ca_topic_score_gemma":0.7991188,"domain_scores_codex":[0.9992746,0.00006770591,0.0001431368,0.0001248965,0.0002081672,0.0001815026],"domain_scores_gemma":[0.9885106,0.0026624,0.00124296,0.0004848353,0.006545112,0.0005540077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001361647,0.00005787917,0.01538209,0.001002732,0.00004378333,0.00004014766,0.00009063132,0.0003054423,0.00003183153,0.0004417482,0.9771066,0.005360951],"study_design_scores_gemma":[0.002165468,0.0001705721,0.3679562,0.006526058,0.0002593365,0.0003608048,0.003077538,0.002121,0.0004902034,0.00221228,0.6144938,0.00016674],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.00047063,0.00001198385,0.00002742235,0.00005493723,0.000008198736,0.00005024836,0.9983975,0.00001737088,0.0009617875],"genre_scores_gemma":[0.02023627,0.0002602705,0.0009187926,0.0004086282,0.00004766478,0.001308637,0.9631932,0.00008195965,0.01354454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4700197,"threshold_uncertainty_score":0.7559526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351005966372374,"score_gpt":0.2628416952625349,"score_spread":0.2393316355988112,"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."}}