{"id":"W4404057589","doi":"10.1109/ccci61916.2024.10736486","title":"Autonomous Ping Pong Ball Collector","year":2024,"lang":"en","type":"article","venue":"","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ping pong; Ball (mathematics); Computer science; Computer graphics (images); Mathematics; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007171633,0.00006384709,0.00007919385,0.00006302123,0.00002522153,0.0001222647,0.00004538689,0.0000525604,0.000605502],"category_scores_gemma":[0.000006208304,0.00005595526,0.00003688252,0.0001488292,0.000003137298,0.0000693304,0.000004945793,0.00007178825,0.0007209255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000082982,"about_ca_system_score_gemma":0.00002434191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003334552,"about_ca_topic_score_gemma":0.00001724259,"domain_scores_codex":[0.9996133,0.000007771105,0.0001301137,0.00006945628,0.00006110396,0.0001182647],"domain_scores_gemma":[0.999866,0.00002780946,0.000003509399,0.00006155163,0.000008139011,0.00003298363],"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":[0.00001372899,0.0000294505,0.0001712063,0.0006961583,0.0006938169,0.0001316355,0.002276927,0.06945686,0.05840107,0.1436913,0.5644842,0.1599536],"study_design_scores_gemma":[0.0001277017,0.000006816419,0.00009773167,0.00003645074,0.000005524142,0.00000778265,0.00003564134,0.7986404,0.0007762838,0.00003121367,0.2001355,0.00009899116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0467136,0.001432907,0.03026381,0.0007196991,0.006649668,0.0004489936,0.000009150715,0.008501829,0.9052603],"genre_scores_gemma":[0.9879381,0.000002302948,0.00007105648,0.00004248343,0.000302646,0.00001645183,0.00000180221,0.00001660139,0.01160855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9412245,"threshold_uncertainty_score":0.9266279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00804613276371685,"score_gpt":0.1909633125453785,"score_spread":0.1829171797816617,"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."}}