{"id":"W6892616590","doi":"10.5281/zenodo.10982936","title":"Collision Prediction for Robotics Accelerators","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Collision; Robotics; Code (set theory); Work (physics); Robot","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000267859,0.0006222053,0.0003548456,0.000458712,0.0007710996,0.0005919035,0.001580017,0.0005875939,0.02516674],"category_scores_gemma":[0.001389719,0.0003388744,0.0004731657,0.0005028222,0.0004210369,0.0008299261,0.0008038447,0.0009872339,0.005211155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009144502,"about_ca_system_score_gemma":0.001356156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112541,"about_ca_topic_score_gemma":0.00973002,"domain_scores_codex":[0.9996772,0.00003551212,0.00001250038,0.00005388894,0.0001746996,0.0000462367],"domain_scores_gemma":[0.9994404,0.0001050638,0.00004175857,0.0001356872,0.0002450847,0.00003206914],"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":[0.0007080646,0.0002042215,0.005802626,0.0002933541,0.000108742,0.0003409643,0.0002860589,0.5289676,0.02112856,0.09809409,0.08950633,0.2545594],"study_design_scores_gemma":[0.00003760081,0.00003350677,0.000403037,0.00001906404,0.00001245429,0.00004007823,0.00001663113,0.9592326,0.01287681,0.009471669,0.01783839,0.00001820476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06228676,0.000369378,0.8102236,0.0006472778,0.0006271861,0.0001529506,0.001913834,0.0510292,0.07274976],"genre_scores_gemma":[0.6580461,0.0001803664,0.3004024,0.0003475931,0.0001111754,0.0001952161,0.001924119,0.00504144,0.03375169],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02516674,"threshold_uncertainty_score":0.08419114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03234866540442094,"score_gpt":0.2457929151257532,"score_spread":0.2134442497213322,"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."}}