{"id":"W2405524767","doi":"10.5220/0005346506080613","title":"An Experimental Study of Visual Tracking in Surgical Applications","year":2015,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence","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":[0.001044236,0.0004497555,0.0003920214,0.0004982352,0.000454154,0.0006266291,0.0006882302,0.0009358725,0.005712667],"category_scores_gemma":[0.01074238,0.0003739553,0.000308792,0.0004793107,0.0006834454,0.001048104,0.0008379482,0.0005724914,0.001044298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002469615,"about_ca_system_score_gemma":0.0005002832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001454365,"about_ca_topic_score_gemma":0.0009785099,"domain_scores_codex":[0.9990008,0.0002972501,0.00009144573,0.0002120204,0.0002684952,0.000129871],"domain_scores_gemma":[0.9934282,0.004404354,0.0003400896,0.0008602049,0.0007857227,0.0001813287],"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":[0.006647218,0.004881374,0.005915589,0.0007574633,0.00006097099,0.0003284272,0.00113587,0.007630413,0.8632115,0.00167343,0.001080626,0.1066771],"study_design_scores_gemma":[0.001043284,0.05644928,0.08466659,0.0003142062,0.0004126804,0.003028612,0.001751198,0.1663522,0.6729947,0.002971802,0.009835777,0.0001797838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966521,0.0004591543,0.02858353,0.0001004239,0.000123302,0.0001947836,0.0002867341,0.0002080266,0.003523076],"genre_scores_gemma":[0.9858549,0.0003588039,0.00998746,0.00005846719,0.00002816626,0.0001222688,0.0003355201,0.000102728,0.003151659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005712667,"threshold_uncertainty_score":0.01911074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06190551052570565,"score_gpt":0.398255924149306,"score_spread":0.3363504136236004,"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."}}