{"id":"W4412438990","doi":"10.1167/jov.25.9.2889","title":"Adaptation to haptic target size highlights the hierarchical nature of grasp planning","year":2025,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"GRASP; Adaptation (eye); Haptic technology; Computer science; Human–computer interaction; Psychology; Simulation; Neuroscience","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":[0.0002440599,0.00006081025,0.0001256344,0.0001362351,0.00005093242,0.00002217855,0.0001124912,0.00007091258,0.00002503237],"category_scores_gemma":[0.000187287,0.00003946052,0.00005901577,0.0002051324,0.000008317171,0.0000912372,0.00001434617,0.0004237832,0.000003071223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002743349,"about_ca_system_score_gemma":0.00001662749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001022996,"about_ca_topic_score_gemma":6.197814e-7,"domain_scores_codex":[0.9993634,0.00004038551,0.0002825604,0.00004380672,0.0001944049,0.00007540978],"domain_scores_gemma":[0.9995175,0.0002228281,0.00007804792,0.0000709165,0.00007420729,0.00003651086],"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":[0.00004106604,0.000009509852,0.0002228578,0.00002150105,0.00002528331,0.000005299672,0.0008276521,0.9804571,0.01267289,0.001364501,0.002385428,0.001966959],"study_design_scores_gemma":[0.0005948838,0.000222944,0.2524815,0.0007880892,0.00003681627,0.0000181185,0.0004014865,0.7129946,0.001837911,0.001951649,0.02854654,0.0001254609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5982743,0.00193754,0.3901085,0.005387808,0.001671189,0.0001533971,3.469646e-7,0.00005168832,0.002415206],"genre_scores_gemma":[0.9942442,0.00001669278,0.005406843,0.0001257328,0.00009505116,3.523975e-7,5.052129e-7,0.000006965376,0.0001036296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3959699,"threshold_uncertainty_score":0.1841151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015785058824072,"score_gpt":0.2770691557621223,"score_spread":0.2669113051738816,"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."}}