{"id":"W1975598610","doi":"10.1073/pnas.0905549106","title":"“Real-time” obstacle avoidance in the absence of primary visual cortex","year":2009,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institutes of Health Research; Western University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Visual cortex; Visual field; Neuroscience; Posterior parietal cortex; Obstacle; Dorsum; Vision for perception and vision for action; Computer science; Visual system; Task (project management); Obstacle avoidance; Psychology; Cortex (anatomy); Computer vision; Artificial intelligence; Cognitive psychology; Biology; Anatomy; Robot","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000211873,0.0001966092,0.0002094531,0.0001358315,0.0001028391,0.0002913226,0.0003017393,0.0002929938,0.0008416521],"category_scores_gemma":[0.001301456,0.0001715233,0.000106042,0.00004730095,0.0006012084,0.000356201,0.0003091042,0.0003945166,0.0001239815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003215923,"about_ca_system_score_gemma":0.0003798243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001437262,"about_ca_topic_score_gemma":0.002085747,"domain_scores_codex":[0.9998623,0.00001564007,0.000009062152,0.00004012133,0.00004376347,0.0000291173],"domain_scores_gemma":[0.9996011,0.0001068931,0.0001095389,0.00007310921,0.00002466508,0.00008475464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003103951,0.00003255847,0.0009162255,0.00004179781,0.00000826377,0.0001877519,0.00004936408,0.0008128266,0.9922964,0.0005101474,0.0001033393,0.00473091],"study_design_scores_gemma":[0.0002848888,0.002244097,0.2694486,0.00004604055,0.0001101302,0.004401834,0.000166646,0.0431922,0.6710377,0.005530461,0.003457623,0.0000797812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964077,0.0001144618,0.002490991,0.00004406567,0.00001140993,0.000004356011,0.00001864845,0.00005176467,0.0008566582],"genre_scores_gemma":[0.9975975,0.00008361352,0.001543836,0.00003159855,0.000004050153,0.000006580118,0.00006033033,0.000008548733,0.0006639011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001437262,"threshold_uncertainty_score":0.002857745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0627162460706697,"score_gpt":0.3478576479399907,"score_spread":0.285141401869321,"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."}}