{"id":"W7116111587","doi":"10.82417/ad8m-2p59","title":"GRASP-01","year":2025,"lang":"en","type":"other","venue":"Espace ÉTS (ETS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Payload (computing); Humanoid robot; Robotic arm; Servo; Robot; Position (finance); Key (lock); Servomotor","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005417903,0.0007625264,0.0004507921,0.0006679116,0.0003712605,0.0007922242,0.001027225,0.0008207635,0.05374891],"category_scores_gemma":[0.0007628182,0.0002760231,0.0004670479,0.0003750803,0.0003854508,0.0007960265,0.001503942,0.0005410634,0.02101655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003967335,"about_ca_system_score_gemma":0.001013193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001129817,"about_ca_topic_score_gemma":0.001766824,"domain_scores_codex":[0.9995684,0.00003002359,0.00001367785,0.00007742583,0.0002686641,0.0000416911],"domain_scores_gemma":[0.9997126,0.00003941408,0.00003042366,0.00007122668,0.00009712378,0.00004912774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008792278,0.0001754316,0.0015538,0.001376871,0.00007365493,0.000707824,0.0003439044,0.007973908,0.2141835,0.02255647,0.1175035,0.632672],"study_design_scores_gemma":[0.0002247974,0.001681956,0.004355121,0.000192021,0.00006916838,0.00247706,0.0001674687,0.0288577,0.1047002,0.005950821,0.8511949,0.0001288582],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.06894741,0.002027981,0.4940961,0.000684993,0.0008629358,0.0008241647,0.007941743,0.0529814,0.3716334],"genre_scores_gemma":[0.2650468,0.001145248,0.3070481,0.0005053932,0.00009487054,0.0007748786,0.01694057,0.004923066,0.4035211],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9462511,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00976301671524529,"score_gpt":0.2614461587143576,"score_spread":0.2516831419991123,"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."}}