{"id":"W2273729904","doi":"10.1002/lsm.22459","title":"Automated 3D bone ablation with 1,070 nm ytterbium‐doped fiber laser enabled by inline coherent imaging","year":2015,"lang":"en","type":"article","venue":"Lasers in Surgery and Medicine","topic":"Laser Applications in Dentistry and Medicine","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Materials science; Laser; Ablation; Laser ablation; Fiber laser; Fiber; Biomedical engineering; Ytterbium; Optics; Microsecond; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001179381,0.0003284291,0.000802946,0.0003037254,0.00008345251,0.00001475983,0.00007163671,0.0001245294,0.0002623499],"category_scores_gemma":[0.000418089,0.0002312428,0.0000390604,0.0007377765,0.0003915278,0.0002021037,0.00004259342,0.0003491015,0.00002889972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001079409,"about_ca_system_score_gemma":0.0001920249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002777202,"about_ca_topic_score_gemma":0.00005773131,"domain_scores_codex":[0.9976857,0.00009918967,0.0006998874,0.0005069134,0.00055612,0.0004521424],"domain_scores_gemma":[0.9982118,0.000366743,0.0002084671,0.0004498713,0.0002188749,0.0005442364],"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":[0.003401525,0.001021715,0.2751841,0.000596613,0.0003048845,0.002069023,0.001396307,0.0001350094,0.006348904,0.00004262319,0.6850596,0.02443968],"study_design_scores_gemma":[0.04750396,0.001526988,0.105898,0.006808019,0.001971958,0.004472484,0.004589241,0.02740797,0.01987744,0.0002679204,0.7778249,0.001851114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818884,0.00148363,0.0003090232,0.01084028,0.0003864071,0.0007922146,0.00002577507,0.000356194,0.003918045],"genre_scores_gemma":[0.9872707,0.0003439384,0.0006624397,0.00315184,0.0004254436,0.0001342219,0.001197508,0.00005007131,0.006763904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1692862,"threshold_uncertainty_score":0.9429807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898833578017522,"score_gpt":0.2842878151812795,"score_spread":0.2652994794011043,"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."}}