{"id":"W2088810634","doi":"10.1016/j.cub.2014.08.046","title":"Motor, not visual, encoding of potential reach targets","year":2014,"lang":"en","type":"letter","venue":"Current Biology","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Ontario Innovation Trust","keywords":"Affordance; Premotor cortex; Action (physics); Action selection; Selection (genetic algorithm); Perception; Visual cortex; Encoding (memory); Neuroscience; Cognitive psychology; Biology; Cognitive science; Psychology; Dorsum; Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0001574316,0.0002674639,0.0004742173,0.0002018777,0.00007613887,0.00001742831,0.000392919,0.0004853683,0.0001099809],"category_scores_gemma":[0.000380106,0.0002260148,0.0001976798,0.00007943585,0.0001882154,0.00004691835,0.00008991142,0.0008515057,0.00009622821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002689084,"about_ca_system_score_gemma":0.00004520647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001197659,"about_ca_topic_score_gemma":3.861533e-7,"domain_scores_codex":[0.9979342,0.0004086805,0.0004347581,0.0006244673,0.0001936428,0.0004042372],"domain_scores_gemma":[0.9989396,0.0002531138,0.0004486589,0.0002592758,0.00005798758,0.00004133461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005341044,0.00005124725,0.00002378492,0.0001600064,0.000009462616,0.00001961226,0.0000298346,0.000002816603,0.8889567,0.0005119391,0.09512957,0.01505167],"study_design_scores_gemma":[0.0003831064,0.0002205571,0.0001261718,0.00005257763,0.00003261807,0.00001216654,8.129145e-7,0.001549059,0.01156241,0.0003843778,0.9854093,0.0002668902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07977905,0.006344207,0.08684637,0.7261832,0.08730543,0.005290355,0.001819432,0.001000608,0.005431323],"genre_scores_gemma":[0.842173,0.0003669679,0.00005854591,0.1488799,0.007484085,0.00006249487,0.000452024,0.00004748166,0.0004755658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8902797,"threshold_uncertainty_score":0.9216617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0649981595908951,"score_gpt":0.3180384261428148,"score_spread":0.2530402665519197,"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."}}