{"id":"W3083885575","doi":"10.32393/csme.2020.1274","title":"Linear Position-Based Visual Predictive Control","year":2020,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering. Volume 3","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Model predictive control; Position (finance); Position paper; Artificial intelligence; Computer vision; Control (management)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001199282,0.0002658172,0.0003380251,0.0001961841,0.00003481866,0.00003674975,0.0002116366,0.0002092416,0.00006213303],"category_scores_gemma":[0.0001515138,0.0003259541,0.000070953,0.0004421517,0.00001952508,0.0001540785,0.0000104392,0.0003720332,0.00005162739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005641923,"about_ca_system_score_gemma":0.0001518779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009663826,"about_ca_topic_score_gemma":0.002490179,"domain_scores_codex":[0.9984059,0.00002618178,0.000373348,0.0003087909,0.0002116938,0.0006741129],"domain_scores_gemma":[0.9988411,0.00005078126,0.00003085396,0.0001569562,0.00006835264,0.0008519297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002426527,0.00001021739,0.0009198618,0.00007940481,0.0000342463,0.00006374129,0.00002709278,0.996904,0.000205794,0.0003645693,0.0001102938,0.001256496],"study_design_scores_gemma":[0.001095447,0.00012839,0.0002700588,0.0000574502,0.00001663144,0.000002583272,0.00000534443,0.9950023,0.0002594264,0.00001068458,0.002841026,0.0003106806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002545599,0.0009474286,0.991891,0.001927584,0.000495179,0.0009324539,0.0001616524,0.0009862276,0.0001129042],"genre_scores_gemma":[0.9928094,0.000003544822,0.006028159,0.000440914,0.0003066342,0.0002581281,0.00004600957,0.0001018747,0.000005337844],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9902638,"threshold_uncertainty_score":0.9999192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003922940844615887,"score_gpt":0.2003672603314653,"score_spread":0.1964443194868495,"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."}}