{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007160782,0.0006167165,0.0009450664,0.0007416462,0.001218051,0.001172563,0.001712753,0.0008816351,0.003652929],"category_scores_gemma":[0.001204998,0.0004536065,0.0004011012,0.0005325614,0.0006990696,0.00155746,0.002618302,0.000932043,0.001854918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006660631,"about_ca_system_score_gemma":0.001687833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004256405,"about_ca_topic_score_gemma":0.004186013,"domain_scores_codex":[0.9991971,0.00006045219,0.00002204277,0.000151354,0.0004604826,0.0001085754],"domain_scores_gemma":[0.999339,0.0001153686,0.00003785166,0.0001162753,0.0002683291,0.0001231141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001826467,0.0005300166,0.01499499,0.0006432318,0.0001473339,0.002935959,0.00198923,0.1109799,0.2602193,0.0125532,0.04163933,0.5515411],"study_design_scores_gemma":[0.0001416821,0.001151534,0.007874354,0.00007545636,0.00007245808,0.001521379,0.0007698726,0.697006,0.1731599,0.005665292,0.112395,0.0001669857],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1982338,0.0005104236,0.7535365,0.0007251362,0.0006964226,0.00103517,0.0005584975,0.01639668,0.02830736],"genre_scores_gemma":[0.7709232,0.0003915156,0.1928159,0.0002617775,0.0001013763,0.0003689,0.001002277,0.0003588719,0.03377613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004256405,"threshold_uncertainty_score":0.01222026,"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."}}