{"id":"W3200309023","doi":"10.1136/bmjophth-2021-000709","title":"Economic burden and loss of quality of life from dry eye disease in Canada","year":2021,"lang":"en","type":"article","venue":"BMJ Open Ophthalmology","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Novartis (Canada); University of Ottawa; University of Waterloo; University of Toronto","funders":"Takeda Canada; Novartis Pharmaceuticals Canada","keywords":"Medicine; Presenteeism; Indirect costs; Absenteeism; Quality of life (healthcare); Disease burden; Disease; Cross-sectional study; Cohort; Severity of illness; Cohort study; Burden of disease; Physical therapy; Demography; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0006308982,0.0002738023,0.0003071091,0.001617039,0.001387539,0.00151176,0.0006573106,0.0003065951,0.001742317],"category_scores_gemma":[0.004108031,0.0001713698,0.0005882465,0.004629768,0.0004403285,0.0003428365,0.0007873441,0.0006155435,0.00008761755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04053605,"about_ca_system_score_gemma":0.02474958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921084,"about_ca_topic_score_gemma":0.9922404,"domain_scores_codex":[0.9989095,0.0001311671,0.00007128032,0.00006939768,0.0005482246,0.0002703779],"domain_scores_gemma":[0.997921,0.0001805687,0.0005096449,0.00003399359,0.0009689371,0.0003858047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002038953,0.00004132796,0.9725081,0.0002003066,0.0003026929,0.0002864737,0.0004685195,0.001314111,0.00009848522,0.0006144224,0.004250457,0.01971134],"study_design_scores_gemma":[0.00002200124,0.00002035789,0.9948598,0.0001211711,0.00007241893,0.0001437861,0.0005220007,0.00139359,0.00002953543,0.0001047408,0.002691864,0.00001882894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619451,0.009134733,0.000200982,0.003204502,0.00004818114,0.00008109462,0.01624165,0.000013781,0.009130139],"genre_scores_gemma":[0.9934802,0.002783661,0.0002031583,0.0001675907,0.00001175173,0.00001543932,0.002713013,0.00000323369,0.0006220585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04053605,"threshold_uncertainty_score":0.294111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04355214419160004,"score_gpt":0.3617327999647598,"score_spread":0.3181806557731597,"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."}}