{"id":"W2024523078","doi":"10.1109/tbme.2012.2218655","title":"Toward Robot-Assisted Neurosurgical Lasers","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Laser Applications in Dentistry and Medicine","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Microsurgery; Medicine; Laser; Neurosurgery; Surgery; Biomedical engineering","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":[0.0007251453,0.0003795844,0.0001685582,0.0002683035,0.0001995114,0.0007689881,0.0005220061,0.0007972699,0.00254013],"category_scores_gemma":[0.0006113831,0.0002510419,0.0002817637,0.0001277717,0.0005818629,0.0007527242,0.000504731,0.0007697623,0.0009027029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002719334,"about_ca_system_score_gemma":0.0005916283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004567454,"about_ca_topic_score_gemma":0.0007930539,"domain_scores_codex":[0.9996336,0.0001124619,0.00001553536,0.00005187167,0.0001585895,0.00002794163],"domain_scores_gemma":[0.9996971,0.00007531183,0.00005158656,0.00002334757,0.0001145182,0.00003821003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005739942,0.0007825668,0.005406928,0.0008971526,0.00008111428,0.0008391438,0.0004441692,0.01959772,0.5747747,0.0233629,0.003736384,0.3695033],"study_design_scores_gemma":[0.0004933432,0.0148115,0.02604219,0.0006885314,0.0002468157,0.00998928,0.001043259,0.1848922,0.5104671,0.03434336,0.216687,0.0002954468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2189216,0.02423408,0.7181509,0.004245726,0.0004198905,0.0004201926,0.0001154121,0.001189352,0.0323029],"genre_scores_gemma":[0.4194795,0.009348449,0.5579847,0.0009375435,0.0002210201,0.0002888133,0.000124454,0.00005969436,0.01155575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00254013,"threshold_uncertainty_score":0.008497596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02885102754546271,"score_gpt":0.2727331567869729,"score_spread":0.2438821292415102,"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."}}