{"id":"W2347099090","doi":"","title":"TECHNOLOGY USE AMONGST PATIENTS WITH AGE-RELATED MACULAR DEGENERATION IN ALBERTA, CANADA","year":2013,"lang":"en","type":"article","venue":"The 35th Annual Meeting of the Society for Medical Decision Making","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Macular degeneration; Optometry; Medicine; Degeneration (medical); Ophthalmology","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":[],"consensus_categories":[],"category_scores_codex":[0.000621559,0.0003359456,0.0005389141,0.00187856,0.003299826,0.001903059,0.001322437,0.0008008708,0.002386412],"category_scores_gemma":[0.002767815,0.0003625066,0.0007521176,0.006333794,0.0007660468,0.0005265408,0.0009479523,0.001230248,0.0002786259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02975695,"about_ca_system_score_gemma":0.03646142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995138,"about_ca_topic_score_gemma":0.9966933,"domain_scores_codex":[0.9986824,0.0001134904,0.0001275955,0.0001164048,0.0006132545,0.0003467891],"domain_scores_gemma":[0.9967649,0.000289057,0.0005377458,0.00006125155,0.001550417,0.0007966292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006384667,0.00008865045,0.9914548,0.00004931624,0.00004402588,0.000333577,0.00143843,0.0001169939,0.0001180327,0.00013831,0.001466191,0.004687923],"study_design_scores_gemma":[0.00001313685,0.00004046959,0.9935493,0.00007487495,0.00003758894,0.0001896349,0.004631287,0.0003683572,0.00003641407,0.00003420714,0.001004825,0.00001989085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883157,0.001597228,0.00009165301,0.00146434,0.0000482819,0.00007150139,0.002683696,0.00001146132,0.005716041],"genre_scores_gemma":[0.9956167,0.001339899,0.0001851994,0.0004302337,0.00001903279,0.00002336267,0.0007534648,0.000005488946,0.001626683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02975695,"threshold_uncertainty_score":0.2159029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03294441660571186,"score_gpt":0.3405750257516026,"score_spread":0.3076306091458907,"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."}}