{"id":"W4256376344","doi":"10.1097/00042728-200301000-00008","title":"Algorithm for Using a Long-Pulsed Nd","year":2003,"lang":"en","type":"article","venue":"Dermatologic Surgery","topic":"Vascular Malformations and Hemangiomas","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Clearance; Medicine; Laser; Pulse (music); Laser treatment; Surgery; Biomedical engineering; Computer science; Urology; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002969661,0.0001184683,0.0003638182,0.0001738365,0.0001235315,0.00001254248,0.0000284997,0.00010443,0.0001318545],"category_scores_gemma":[0.0002091239,0.00009777713,0.0003134992,0.0002059629,0.00003495402,0.00008493816,0.000008154351,0.00005949183,0.00003330334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003095894,"about_ca_system_score_gemma":0.0001110166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002934951,"about_ca_topic_score_gemma":4.490873e-7,"domain_scores_codex":[0.9991145,0.00004021304,0.0002851169,0.0001502476,0.0001247678,0.0002851614],"domain_scores_gemma":[0.999322,0.0002010607,0.00007361812,0.0002185325,0.00009517044,0.0000895948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000182309,0.002276035,0.7307612,0.002481934,0.001920746,0.003746701,0.0008264015,0.0001122255,0.001377792,0.01246735,0.06922349,0.1746238],"study_design_scores_gemma":[0.01437989,0.0002863869,0.1054188,0.001182792,0.002520536,0.08320975,0.002733513,0.1626137,0.1088352,0.00974964,0.5053886,0.003681126],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7276149,0.001926189,0.2664678,0.0003970489,0.0004528775,0.0006376316,0.000009971027,0.0001525821,0.002340975],"genre_scores_gemma":[0.9375903,0.00002960389,0.06032951,0.001581074,0.00007385152,0.00004465269,0.00009413461,0.00002996145,0.0002269195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6253424,"threshold_uncertainty_score":0.3987236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06301208767602977,"score_gpt":0.298480859461301,"score_spread":0.2354687717852713,"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."}}