{"id":"W2123000593","doi":"10.1016/j.jcrs.2004.06.066","title":"Environmental factors and LASIK","year":2004,"lang":"en","type":"letter","venue":"Journal of Cataract & Refractive Surgery","topic":"Ocular and Laser Science Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"LASIK; Keratomileusis; Univariate; Linear regression; Variables; Confounding; Bayesian multivariate linear regression; Multivariate statistics; Regression analysis; Multivariable calculus; Multivariate analysis; Medicine; Statistics; Mathematics; Ophthalmology; Cornea; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007969325,0.0003123803,0.0009999992,0.0006593925,0.00009179821,0.00006861334,0.0001439703,0.000457233,0.0002725684],"category_scores_gemma":[0.0003893035,0.0002099549,0.0005991345,0.0001495506,0.0002613322,0.0005455941,0.00005573994,0.003417027,0.00002695293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004641338,"about_ca_system_score_gemma":0.001023533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005561631,"about_ca_topic_score_gemma":9.893132e-7,"domain_scores_codex":[0.9971694,0.000135583,0.0005798448,0.0002797563,0.001383118,0.0004522379],"domain_scores_gemma":[0.9976577,0.0009428003,0.000717841,0.0002739866,0.0001080569,0.0002996775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006548122,0.0005667711,0.2316601,0.0005252415,0.001261747,0.033225,0.0005299685,0.000001326548,0.0036258,0.00000106344,0.7029915,0.02495663],"study_design_scores_gemma":[0.0004099371,0.0003271154,0.1980985,0.0004674921,0.0002371467,0.002764968,0.0001798845,7.9078e-7,0.002854103,0.00005151503,0.7943566,0.0002519236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8047628,0.002482136,0.00002269928,0.1914026,0.0006697698,0.0001901634,0.00006439215,0.000008480307,0.0003969526],"genre_scores_gemma":[0.8829471,0.004047431,0.00008087209,0.1073022,0.004143457,0.000002390888,0.0002329564,0.00007892311,0.001164667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09136508,"threshold_uncertainty_score":0.9988821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682560419514869,"score_gpt":0.2856203630318364,"score_spread":0.2587947588366877,"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."}}