{"id":"W7151270643","doi":"10.1002/j.1538-9235.2000.tb03056.x","title":"(CL‐166) <b>SEVERITY AND MANAGEMENT OF CL RELATED COMPLICATIONS WITH CONTINUOUS WEAR OF HIGH DK SILICONE HYDROGEL LENSES.</b>","year":2000,"lang":"en","type":"article","venue":"Optometry and Vision Science","topic":"Copper Interconnects and Reliability","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Silicone; Silicone hydrogel; Silicone Elastomers","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001813631,0.0001087813,0.0001007879,0.000481703,0.0001648338,0.000208274,0.0001607647,0.0004491546,0.008026697],"category_scores_gemma":[0.001458547,0.00005045257,0.0001980195,0.0001913111,0.0001284387,0.0001984788,0.0001202841,0.0003326119,0.001056625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002356873,"about_ca_system_score_gemma":0.0002075995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002806324,"about_ca_topic_score_gemma":0.0040728,"domain_scores_codex":[0.9999312,0.0000159543,0.00001378435,0.000005920269,0.00001988776,0.00001317956],"domain_scores_gemma":[0.9995716,0.0001193274,0.0001413128,0.00001703309,0.00007161438,0.00007909659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01868826,0.00146152,0.2726651,0.0008960094,0.0001559495,0.01545962,0.0001700247,0.001407796,0.01976257,0.001150163,0.1465569,0.5216262],"study_design_scores_gemma":[0.000832866,0.006147304,0.8825133,0.0004740199,0.0001301879,0.06426529,0.0002672699,0.002145292,0.009991886,0.001002101,0.03215557,0.00007503168],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9103036,0.007843289,0.003380251,0.006372578,0.0007711471,0.0002501844,0.003084339,0.0003194673,0.06767524],"genre_scores_gemma":[0.9886079,0.00123965,0.002611867,0.001381563,0.0002782738,0.00009899341,0.001062554,0.00002835787,0.004690969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008026697,"threshold_uncertainty_score":0.02685195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009307609835372207,"score_gpt":0.3305345385974912,"score_spread":0.3212269287621189,"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."}}