{"id":"W2003828327","doi":"10.1016/j.bbr.2014.11.048","title":"Improved single pellet grasping using automated ad libitum full-time training robot","year":2014,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge; Women and Children’s Health Research Institute; University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Innovates - Health Solutions","keywords":"Pellet; Psychology; Neuroscience; Physical medicine and rehabilitation; Biology; Medicine; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001733904,0.0002716543,0.0003279092,0.000493491,0.0004512508,0.0003144179,0.0003501544,0.0002070564,0.0004091751],"category_scores_gemma":[0.0005241345,0.0002921183,0.0001161852,0.0007231286,0.0001096063,0.0003036761,0.0001321614,0.0009048063,0.0002238499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002378191,"about_ca_system_score_gemma":0.00005053463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001083213,"about_ca_topic_score_gemma":0.00002939478,"domain_scores_codex":[0.9970556,0.0004246628,0.0004349994,0.0004100778,0.0005970409,0.001077585],"domain_scores_gemma":[0.9987374,0.0003920598,0.00005363455,0.0003853193,0.0001621084,0.0002694974],"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":[0.0000140626,0.00003221525,0.0004062305,0.00004010457,0.0000187914,0.0000140803,0.0009925554,0.1760324,0.8134106,0.00003130556,0.001389732,0.007617895],"study_design_scores_gemma":[0.0005150136,0.0001414458,0.005244215,0.0001076031,0.00001013043,0.0000328059,0.0003037427,0.9901713,0.002466356,0.00001800565,0.0006349706,0.000354426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650778,0.0001209561,0.0287744,0.0007085506,0.0003323996,0.0004932437,0.000001324127,0.002679762,0.001811532],"genre_scores_gemma":[0.9937184,0.000001816615,0.004871166,0.00005324372,0.0001644999,0.00001781909,0.00004612203,0.0001303796,0.0009965423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8141389,"threshold_uncertainty_score":0.9999531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1769902288811582,"score_gpt":0.3528818995270182,"score_spread":0.1758916706458599,"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."}}