{"id":"W2889015137","doi":"","title":"Towards Accurate Drilling Guidance for Orthopaedic Surgery","year":2018,"lang":"en","type":"article","venue":"Joint Workshop New Technologies for Computer/Robot Assisted Surgery","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hand and Upper Limb Clinic","funders":"","keywords":"Drilling; Orthopedic surgery; Computer science; Medical physics; Medicine; Engineering; Surgery; Mechanical 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":[0.001813162,0.000959388,0.0007171172,0.001181833,0.0003965427,0.001911425,0.001148438,0.001735717,0.004706766],"category_scores_gemma":[0.003826024,0.001136742,0.0005196849,0.0005558766,0.000993902,0.001920423,0.002500532,0.002163076,0.002382586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000409824,"about_ca_system_score_gemma":0.0009598763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001539092,"about_ca_topic_score_gemma":0.002028804,"domain_scores_codex":[0.9969726,0.0003948144,0.0001006675,0.0001817029,0.002234612,0.0001156056],"domain_scores_gemma":[0.9981273,0.0006160185,0.0001317812,0.0002968656,0.0007394415,0.00008845505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003308691,0.00006306334,0.0009139841,0.0006548197,0.0000586997,0.0002267438,0.0005474705,0.04253004,0.4083964,0.02870139,0.009866271,0.5077102],"study_design_scores_gemma":[0.0000780551,0.0006204352,0.002999511,0.0003790045,0.00007735061,0.002201969,0.0003081691,0.5664962,0.2497154,0.03194982,0.1449413,0.0002327452],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005369205,0.001509687,0.9884719,0.0003982232,0.0002272222,0.00004322784,0.00004507196,0.0009968436,0.002938631],"genre_scores_gemma":[0.07976073,0.001627514,0.9131375,0.0002087963,0.0001015573,0.00005006911,0.0001600987,0.0002805436,0.004673072],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004706766,"threshold_uncertainty_score":0.0157457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05817787816859175,"score_gpt":0.2741935098836499,"score_spread":0.2160156317150582,"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."}}