{"id":"W4242495448","doi":"10.1109/crv15589.2009","title":"2009 Canadian Conference on Computer and Robot Vision","year":2009,"lang":"en","type":"paratext","venue":"","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Computer vision; Robot; Artificial intelligence; Robot vision; Computer graphics (images); Human–computer interaction; 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":[],"consensus_categories":[],"category_scores_codex":[0.001377156,0.001531636,0.001917361,0.001615894,0.001797116,0.005731917,0.002629962,0.002247781,0.2823242],"category_scores_gemma":[0.003004603,0.0005893037,0.0006762687,0.002311457,0.0017815,0.003098707,0.001882674,0.002290455,0.1726571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00330123,"about_ca_system_score_gemma":0.01033865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1656953,"about_ca_topic_score_gemma":0.2645742,"domain_scores_codex":[0.9989682,0.00008790877,0.00004143398,0.0001555038,0.0006147539,0.0001321526],"domain_scores_gemma":[0.9977604,0.0002347707,0.00003461567,0.0003680877,0.001331773,0.0002703372],"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":[0.00007730704,0.00005178071,0.0001362107,0.0001341226,0.00001318409,0.00004383229,0.00003065773,0.001251357,0.0009322578,0.008490923,0.7983882,0.1904501],"study_design_scores_gemma":[0.00001966009,0.00002595561,0.0007443089,0.00009613797,0.00002143729,0.00009109098,0.00010634,0.0161288,0.001819237,0.01204161,0.9688758,0.00002964087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006241074,0.01574871,0.2833759,0.01580225,0.02081381,0.0004442263,0.01305522,0.02503723,0.6194816],"genre_scores_gemma":[0.01615418,0.009176107,0.03262324,0.0005533954,0.0005419247,0.0001106528,0.007136498,0.001400174,0.9323038],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2823242,"threshold_uncertainty_score":0.9444685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01221143562005283,"score_gpt":0.2227925761845614,"score_spread":0.2105811405645085,"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."}}