{"id":"W2174358099","doi":"","title":"Soft toric contact lens prescribing in different countries","year":2010,"lang":"en","type":"article","venue":"Deakin Research Online (Deakin University)","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Contact lens; Lens (geology); Optometry; Astigmatism; Medicine; Optics; Ophthalmology; Physics","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":[0.0005664887,0.0001683282,0.0004105543,0.001337713,0.000619922,0.001022383,0.0003118695,0.0005821679,0.004118762],"category_scores_gemma":[0.002913256,0.0003629352,0.0007982563,0.004137735,0.0004330356,0.0006672585,0.0007717321,0.0007010027,0.000356726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777212,"about_ca_system_score_gemma":0.001441786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03917283,"about_ca_topic_score_gemma":0.09284101,"domain_scores_codex":[0.9985142,0.0004448478,0.0002439262,0.000249637,0.0001732945,0.0003740282],"domain_scores_gemma":[0.9962805,0.0007789261,0.001649242,0.0001149647,0.0005225256,0.0006538494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005528143,0.00007395157,0.9848459,0.0001270795,0.0001770443,0.0004963857,0.001130656,0.0002180997,0.0004875103,0.0003687215,0.001174585,0.01034716],"study_design_scores_gemma":[0.00001677867,0.00005230419,0.997196,0.00004643866,0.00002961585,0.0003631807,0.00131601,0.00005877393,0.0001023273,0.00003399492,0.0007754974,0.000009044357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928297,0.001687893,0.00005117408,0.0004680646,0.00002247707,0.00000862853,0.001169745,0.000005424469,0.003756796],"genre_scores_gemma":[0.9971047,0.001114881,0.0001038724,0.0002694394,0.00001618097,0.000009037133,0.0005807654,0.00000801249,0.0007931183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03917283,"threshold_uncertainty_score":0.07788962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05232055862788878,"score_gpt":0.3209590578763726,"score_spread":0.2686384992484838,"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."}}