{"id":"W3048841492","doi":"10.1145/3386569.3392465","title":"RoboCut","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Robot; Set (abstract data type); Surface (topology); Degrees of freedom (physics and chemistry); Piecewise; Motion (physics); Sequence (biology); Subtractive color; Mechanical engineering; Simulation; Artificial intelligence; Geometry; Engineering; Physics; Mathematics; Optics","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":[0.00064199,0.003020727,0.001077411,0.001413022,0.001193956,0.002200836,0.003403591,0.001929296,0.2576794],"category_scores_gemma":[0.00146681,0.0007581703,0.001151565,0.0005285912,0.0009501364,0.00191581,0.003182015,0.001677281,0.09515661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000842127,"about_ca_system_score_gemma":0.000876041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006793869,"about_ca_topic_score_gemma":0.0147227,"domain_scores_codex":[0.9992402,0.0000714081,0.00003887541,0.0001945083,0.0003261785,0.0001290196],"domain_scores_gemma":[0.9995373,0.00009539133,0.00003267636,0.0001555113,0.00008481101,0.00009431389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005720501,0.0001725498,0.0004048995,0.001251383,0.0001087795,0.000427251,0.0001473119,0.008375011,0.006836401,0.02989992,0.6827118,0.2690926],"study_design_scores_gemma":[0.0001535359,0.0001070539,0.0004350281,0.0001587451,0.0000286333,0.0002986511,0.0000490698,0.02271441,0.004670428,0.01686687,0.954459,0.00005868978],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008867703,0.005276911,0.282893,0.001612938,0.00332083,0.001113498,0.02193509,0.2306088,0.4443712],"genre_scores_gemma":[0.12838,0.003688243,0.2807042,0.002608123,0.0006254797,0.002254297,0.08020181,0.04513096,0.4564068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2576794,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04108640464840861,"score_gpt":0.2297391049230737,"score_spread":0.1886527002746651,"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."}}