{"id":"W12512518","doi":"10.1007/978-0-387-73858-1_1","title":"Overview and History of Image-Guided Interventions","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Modalities; Computer science; Visualization; Image (mathematics); Medical imaging; Segmentation; Artificial intelligence; Computer vision; Data science","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":[0.0005114936,0.0006686912,0.0005776773,0.002382095,0.0006088449,0.001958263,0.001063486,0.001811464,0.02629697],"category_scores_gemma":[0.0008638877,0.0003800142,0.0003984757,0.001957599,0.001230866,0.002270864,0.000920946,0.002455393,0.009028519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285154,"about_ca_system_score_gemma":0.001718122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001899524,"about_ca_topic_score_gemma":0.004479049,"domain_scores_codex":[0.9997802,0.00003981654,0.00001546316,0.00003458252,0.0001138159,0.00001610006],"domain_scores_gemma":[0.9996535,0.0002244647,0.00001364446,0.00001469082,0.00007254276,0.00002119551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003249712,0.00007022303,0.0001192409,0.001869384,0.00001285165,0.0002871669,0.000521687,0.0008937382,0.000983928,0.1204727,0.2167334,0.6580031],"study_design_scores_gemma":[0.000001973686,0.000008325292,0.0001111583,0.000597796,0.000003092547,0.0005259427,0.00003105846,0.0001026713,0.0001317038,0.007736148,0.9907432,0.000006912416],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007288412,0.6504455,0.02309206,0.006760485,0.004603691,0.00007619568,0.0002456352,0.0002716573,0.3137759],"genre_scores_gemma":[0.006895463,0.6103207,0.02333705,0.005683375,0.003514989,0.0001542202,0.0003085976,0.0002392447,0.3495463],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02629697,"threshold_uncertainty_score":0.08797216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0529590475768596,"score_gpt":0.2588014601785295,"score_spread":0.2058424126016699,"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."}}