{"id":"W4245998308","doi":"10.1109/crv34026.2014","title":"2014 Canadian Conference on Computer and Robot Vision","year":2014,"lang":"en","type":"paratext","venue":"","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Robot; Human–computer interaction; Computer vision; Robot vision; Artificial intelligence; Computer graphics (images); Mobile robot","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007189457,0.0001838013,0.0002868178,0.0001698546,0.00003738044,0.00008801132,0.0001093535,0.0001699976,0.006545989],"category_scores_gemma":[0.000003416873,0.0001481201,0.00003928699,0.00004214544,0.00003165593,0.00001818327,0.00001437204,0.0002925168,0.009573963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003439774,"about_ca_system_score_gemma":0.00003435268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01918429,"about_ca_topic_score_gemma":0.007932611,"domain_scores_codex":[0.9993119,0.00001927517,0.0001300068,0.0002011973,0.0001158193,0.0002218431],"domain_scores_gemma":[0.9993761,0.00003244462,0.00001361793,0.0001881573,0.00002301155,0.000366628],"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":[1.112389e-7,0.000001478226,0.000003983446,0.00005345521,0.00002795748,0.000002283028,0.000007301187,0.004777798,0.000009327731,0.00007069784,0.9703164,0.0247292],"study_design_scores_gemma":[0.0000635929,0.0000134562,0.00003773411,0.0001481171,0.00001710538,0.000001424271,0.000001276852,0.4553424,0.00001548293,0.00001033004,0.5441601,0.0001890039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001596497,0.0006396573,0.1661531,0.001219831,0.001959033,0.00007763431,0.00003043231,0.0001154136,0.8296453],"genre_scores_gemma":[0.3955281,0.004590615,0.005832355,0.005305595,0.002885784,0.0000155874,0.0009944348,0.0001724715,0.584675],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4505646,"threshold_uncertainty_score":0.9943622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009151869804384946,"score_gpt":0.2293296138300729,"score_spread":0.2201777440256879,"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."}}