{"id":"W3201058901","doi":"10.33137/cpoj.v4i2.35972","title":"(IN) ACCESS TO ARTIFICIAL LIMBS: THE PATIENT’S PERSPECTIVE ACCORDING TO THE WAR AMPS OF CANADA","year":2021,"lang":"en","type":"article","venue":"Canadian Prosthetics & Orthotics Journal","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mining Association of Canada","funders":"","keywords":"Perspective (graphical); Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001528696,0.0002474621,0.0003918989,0.0009261249,0.01405737,0.005798745,0.001107199,0.003396759,0.01141245],"category_scores_gemma":[0.003993553,0.0001954133,0.0004096785,0.002176683,0.006556778,0.002331013,0.003156151,0.007593401,0.0007795603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0457415,"about_ca_system_score_gemma":0.1045206,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.970322,"about_ca_topic_score_gemma":0.9843301,"domain_scores_codex":[0.9963195,0.0004341923,0.000156323,0.000183832,0.00120463,0.001701597],"domain_scores_gemma":[0.9938082,0.0003324742,0.0002766191,0.00003890279,0.001772531,0.003771167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001065233,0.0001213893,0.07350586,0.0006540239,0.00004582178,0.005299125,0.06737553,0.0003869904,0.0005724717,0.04547645,0.7282481,0.07820776],"study_design_scores_gemma":[0.0000216831,0.0001003439,0.06393387,0.002777615,0.00005401338,0.005325038,0.2244419,0.0001706517,0.0001245534,0.004012646,0.6988387,0.0001990544],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05099006,0.02292334,0.0001815087,0.8147728,0.003413246,0.00003043845,0.001189261,0.00002033292,0.106479],"genre_scores_gemma":[0.6899351,0.05473696,0.0005221387,0.2245305,0.001635499,0.00003365509,0.0004315756,0.00004298862,0.02813159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0457415,"threshold_uncertainty_score":0.3318794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750763288898944,"score_gpt":0.2694335625454515,"score_spread":0.251925929656462,"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."}}