{"id":"W2000955423","doi":"10.1016/j.brachy.2009.03.064","title":"Automated 2D/3D registration algorithm for high-dose-rate lung brachytherapy","year":2009,"lang":"en","type":"article","venue":"Brachytherapy","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Juravinski Cancer Centre; McMaster University","funders":"","keywords":"Medicine; Brachytherapy; Lung cancer; Radiology; Lung; Nuclear medicine; Computer vision; Radiation therapy; Computer science; Pathology; Internal medicine","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":[0.001741102,0.001372427,0.001675834,0.002999702,0.001107357,0.002155069,0.002480426,0.001848544,0.006871411],"category_scores_gemma":[0.002295467,0.001495972,0.001704344,0.002136162,0.0004736947,0.001062014,0.001594526,0.001317041,0.003165195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009485653,"about_ca_system_score_gemma":0.002372243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006627606,"about_ca_topic_score_gemma":0.01028811,"domain_scores_codex":[0.9986258,0.0002545531,0.0001262051,0.0002321471,0.0006496718,0.0001117274],"domain_scores_gemma":[0.9988544,0.0002850677,0.0001067961,0.0002395697,0.0004675784,0.00004659901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005256592,0.0001833117,0.001597224,0.0003117017,0.0002493387,0.0001721687,0.0002200673,0.05234971,0.08617079,0.002795316,0.01186996,0.8435547],"study_design_scores_gemma":[0.0001290446,0.0001811668,0.004756393,0.00004364601,0.0001994897,0.001072252,0.00007224706,0.8800517,0.08922017,0.002782851,0.02131545,0.0001755444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008672116,0.0003084372,0.9825321,0.00007728171,0.00008079821,0.000157241,0.0001742107,0.006863936,0.001133891],"genre_scores_gemma":[0.06392871,0.0002284792,0.9315501,0.000126343,0.00003271133,0.0002090478,0.0005350836,0.0008931411,0.002496415],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006871411,"threshold_uncertainty_score":0.02298713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392461767648395,"score_gpt":0.3127859048786577,"score_spread":0.2988612872021738,"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."}}