{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002352966,0.00008260739,0.00007178424,0.0000694972,0.00007973595,0.00002009355,0.000117205,0.00005466347,0.0002698301],"category_scores_gemma":[0.00001114223,0.00009016816,0.00006539435,0.0003361832,0.00001307173,0.00007649656,8.892702e-7,0.0002835059,0.0001711536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007615246,"about_ca_system_score_gemma":0.00000380606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001963175,"about_ca_topic_score_gemma":0.000005032609,"domain_scores_codex":[0.999593,0.00001114186,0.00009946653,0.00009534867,0.0000942624,0.0001068454],"domain_scores_gemma":[0.9996936,0.00003575744,0.000007650028,0.000165744,0.00001245548,0.00008484225],"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":[0.000004186519,0.000008832141,0.00007866266,0.00001616723,0.00002669965,0.000001954353,0.0003108624,0.9904495,0.0003842797,0.0005303046,0.0005410256,0.007647541],"study_design_scores_gemma":[0.0006179905,0.0001272404,0.00351077,0.0000232876,0.00005194248,0.000006542204,0.0001777652,0.9119194,0.002692653,0.0009031764,0.07948337,0.000485921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00467551,0.00005360537,0.9896183,0.002529627,0.0002104911,0.00006795125,0.000001595288,0.0007998922,0.002043034],"genre_scores_gemma":[0.9972859,0.00008321162,0.001536404,0.0009834933,0.00003866684,0.000006151221,0.000003959273,0.00002464626,0.00003754163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9926104,"threshold_uncertainty_score":0.3676951,"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."}}