{"id":"W2518480459","doi":"10.1145/2971763.2971786","title":"Grabbing at an angle","year":2016,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"RWTH Aachen University; Natural Sciences and Engineering Research Council of Canada; Centre for Interdisciplinary Research in Music Media and Technology; Faculty of Engineering, McGill University","keywords":"Workload; Computer science; Textile; Selection (genetic algorithm); Computer vision; Artificial intelligence; Simulation; Materials science; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006804561,0.0008733594,0.0006733057,0.0008204416,0.0004496259,0.0008747631,0.0009052524,0.0005935426,0.00563117],"category_scores_gemma":[0.006021603,0.0004478846,0.0003148033,0.0003267104,0.0005475503,0.002002425,0.001230041,0.0003846669,0.001298729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002342577,"about_ca_system_score_gemma":0.0001961791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004377924,"about_ca_topic_score_gemma":0.000545172,"domain_scores_codex":[0.9988181,0.0002113622,0.00008234525,0.0003371949,0.0004169894,0.0001338957],"domain_scores_gemma":[0.9946032,0.002874335,0.0008779195,0.0007036734,0.0005533189,0.0003875767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001890751,0.0002528375,0.01129028,0.0003938726,0.00004517018,0.0003765543,0.0006863634,0.002236828,0.7472447,0.0008366455,0.0006778953,0.2340681],"study_design_scores_gemma":[0.0001718283,0.008143493,0.1074404,0.000277946,0.0001667015,0.004801741,0.00122119,0.06825709,0.786995,0.002300412,0.0198984,0.0003257192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7618547,0.001044503,0.2261124,0.0001938568,0.00015021,0.0002581503,0.0001992214,0.002291962,0.007895003],"genre_scores_gemma":[0.9404159,0.0003260927,0.05624816,0.0001580535,0.00004917485,0.00008784594,0.000127418,0.0001468397,0.002440429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00563117,"threshold_uncertainty_score":0.01883817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658281238653292,"score_gpt":0.252981784349653,"score_spread":0.2363989719631201,"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."}}