{"id":"W2010710981","doi":"10.1155/2012/642869","title":"Baseline Factors Predictive of SLT Response: A Prospective Study","year":2012,"lang":"en","type":"article","venue":"Journal of Ophthalmology","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Maisonneuve-Rosemont; Université de Montréal","funders":"","keywords":"Medicine; Glaucoma; Algorithm; Ophthalmology; Mathematics","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":[0.0007816423,0.0003825017,0.0005214553,0.000522833,0.0006115227,0.000529642,0.0002503268,0.0005820015,0.002261716],"category_scores_gemma":[0.00236471,0.0003483827,0.0004321398,0.0009159942,0.0003279565,0.0006051813,0.0003181381,0.0006998635,0.0004689477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000169926,"about_ca_system_score_gemma":0.0003669079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009754239,"about_ca_topic_score_gemma":0.00102542,"domain_scores_codex":[0.9994716,0.0001389806,0.00005818179,0.0001269954,0.0001144295,0.00008994654],"domain_scores_gemma":[0.9980354,0.0005207401,0.0008005863,0.0001481548,0.0001690983,0.0003261007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004523409,0.00011014,0.9983127,0.000007721371,0.00004238323,0.00007565397,0.00002970189,0.00002157767,0.0001359628,0.000007371305,0.00004500305,0.0007593375],"study_design_scores_gemma":[0.00004056801,0.0007806661,0.9981592,0.000006647318,0.00004691417,0.0004358673,0.0001112949,0.0001443715,0.00005567048,0.00002024175,0.0001932992,0.000005264025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992367,0.0002220644,0.00008596887,0.00001854774,0.000005716107,0.0000179144,0.0001927751,0.000002408494,0.0002179047],"genre_scores_gemma":[0.9994221,0.00007061097,0.00008225819,0.00002582055,0.00001765326,0.00002341646,0.0002663356,0.000001909584,0.00009000774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002261716,"threshold_uncertainty_score":0.007566214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0245141970993235,"score_gpt":0.3290758533026865,"score_spread":0.304561656203363,"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."}}