{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002523257,0.001624418,0.001944836,0.003253453,0.001753932,0.005458306,0.002726116,0.002354091,0.2477248],"category_scores_gemma":[0.004849348,0.0007674467,0.0007812574,0.003877805,0.001952216,0.003091997,0.002349954,0.002491025,0.1302261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00405112,"about_ca_system_score_gemma":0.01410666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1225976,"about_ca_topic_score_gemma":0.1797576,"domain_scores_codex":[0.9982881,0.0001618503,0.00007210683,0.0002255567,0.001064118,0.0001881813],"domain_scores_gemma":[0.9956776,0.0004591758,0.0000728704,0.0005735113,0.002710824,0.0005059077],"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":[0.00008738191,0.0000736278,0.0001774785,0.0001785865,0.00002032086,0.00004300627,0.00002663054,0.00184947,0.0009650501,0.01355949,0.6724142,0.3106048],"study_design_scores_gemma":[0.00001589633,0.00003131792,0.0007530903,0.00009372945,0.0000228131,0.0000977336,0.00007240295,0.01638688,0.001928053,0.01387186,0.9666954,0.00003076319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004862994,0.02026733,0.3484235,0.01659246,0.02136905,0.0004706604,0.008439474,0.01934157,0.560233],"genre_scores_gemma":[0.01315749,0.01123061,0.04340684,0.0004995801,0.0009257055,0.0001150818,0.004829,0.001286997,0.9245487],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7522752,"threshold_uncertainty_score":0.8287221,"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."}}