{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004265513,0.0002583075,0.0003110513,0.0001861318,0.00004729749,0.0001758755,0.0001174054,0.000316859,0.0008063788],"category_scores_gemma":[5.612935e-7,0.000226629,0.00003092225,0.00006098531,0.00001071253,0.0000306133,0.000009197397,0.0002396976,0.003831946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007360723,"about_ca_system_score_gemma":0.00005361982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009334998,"about_ca_topic_score_gemma":0.009800239,"domain_scores_codex":[0.9991885,0.00001347724,0.000195215,0.0002109155,0.0001039773,0.0002878657],"domain_scores_gemma":[0.9995093,0.00001115768,0.00002154944,0.0002007298,0.00002981842,0.0002274125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[3.517614e-7,0.000003015831,4.038545e-7,0.00005214081,0.00001679836,0.0000103536,0.00001414976,0.1693866,0.00003551972,0.0002714275,0.8208369,0.009372317],"study_design_scores_gemma":[0.0001372296,0.0001009141,0.0002429785,0.0004869011,0.000007383514,0.00001175977,0.000003348534,0.6619077,0.00004803958,0.00001585382,0.3365901,0.0004478196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0001785193,0.001363774,0.01288413,0.0002911125,0.003451279,0.0002992085,0.00008972985,0.0002110635,0.9812312],"genre_scores_gemma":[0.651533,0.003902746,0.004908855,0.001529044,0.001982948,0.00001506671,0.000855787,0.0002391217,0.3350334],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6513545,"threshold_uncertainty_score":0.9972619,"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."}}