{"id":"W4238458588","doi":"10.1109/crv18844.2011","title":"2011 Canadian Conference on Computer and Robot Vision","year":2011,"lang":"en","type":"paratext","venue":"","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Robot; Artificial intelligence; Computer vision; 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":["insufficient_payload"],"category_scores_codex":[0.00004355443,0.0002492297,0.0002911151,0.0001728424,0.00004281868,0.00009678402,0.0001337431,0.0003192776,0.004742633],"category_scores_gemma":[3.378126e-7,0.0002132499,0.00002999881,0.00002775958,0.00001668129,0.00003255677,0.00001871918,0.0002211364,0.01561156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005179907,"about_ca_system_score_gemma":0.00005044549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03966655,"about_ca_topic_score_gemma":0.01771814,"domain_scores_codex":[0.9992446,0.00001347181,0.000184344,0.0002097494,0.00007930923,0.000268497],"domain_scores_gemma":[0.9994799,0.00001009858,0.00002354134,0.0002250029,0.00003208102,0.0002293768],"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":[5.759899e-7,0.000003694492,0.000002155468,0.000114679,0.00003706508,0.000009094759,0.00004990976,0.01833468,0.0000312955,0.0007938331,0.9777644,0.002858617],"study_design_scores_gemma":[0.0002270589,0.0001479218,0.0004897537,0.000634915,0.00001762616,0.00001842717,0.000009065941,0.5496016,0.0001612124,0.00003371567,0.4477912,0.0008675787],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0001742378,0.0007384745,0.01130151,0.0000531966,0.005155735,0.00023442,0.00006436889,0.0001512223,0.9821268],"genre_scores_gemma":[0.5789005,0.002974389,0.004045376,0.0004504476,0.001225486,0.00002809089,0.0005111762,0.0002890176,0.4115756],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5787262,"threshold_uncertainty_score":0.9961672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02235067433213652,"score_gpt":0.2156395791474799,"score_spread":0.1932889048153433,"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."}}