{"id":"W6894186046","doi":"10.5683/sp2/1xrf9u","title":"ReFlex Grasp Demonstrations","year":2018,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"GRASP; Robotics; Variety (cybernetics); Reflex; Grippers","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":[0.001194629,0.004309247,0.001615332,0.001789968,0.0008768201,0.000987559,0.003548261,0.003011952,0.03153384],"category_scores_gemma":[0.006277034,0.0007357562,0.001871845,0.002173697,0.0008011567,0.001607542,0.002820107,0.00224069,0.03125538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009568139,"about_ca_system_score_gemma":0.001196536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01369131,"about_ca_topic_score_gemma":0.0493821,"domain_scores_codex":[0.9980818,0.0003368548,0.0001558634,0.00052092,0.0006465666,0.0002580603],"domain_scores_gemma":[0.9976906,0.0005801545,0.0001444384,0.0008438111,0.0005098241,0.0002312364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008873168,0.0004455721,0.00303966,0.002605784,0.0002449237,0.0007095062,0.0001823051,0.003862694,0.003169556,0.0007465559,0.9256129,0.0584932],"study_design_scores_gemma":[0.00119948,0.001148957,0.04368593,0.001612981,0.0003421236,0.004350772,0.0008553389,0.04414667,0.01634884,0.005471932,0.8804885,0.0003485502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05213856,0.007370313,0.009984524,0.0007110093,0.0008734244,0.0008247261,0.8735158,0.02721129,0.02737034],"genre_scores_gemma":[0.03698431,0.0008230866,0.008298247,0.0002902313,0.00006629262,0.0006325707,0.9440432,0.0006022784,0.008259804],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03153384,"threshold_uncertainty_score":0.1054912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03703795535209967,"score_gpt":0.325224314046002,"score_spread":0.2881863586939024,"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."}}