{"id":"W2001273918","doi":"10.1016/j.brainresrev.2009.05.006","title":"Dorsal–ventral integration in object recognition","year":2009,"lang":"en","type":"review","venue":"Brain Research Reviews","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Neuroanatomy; Psychology; Dorsum; Neuroscience; Cognitive neuroscience of visual object recognition; Communication; Cognitive science; Psychophysics; Object (grammar); Dissociation (chemistry); Visual system; Cognitive psychology; Artificial intelligence; Visual cortex; Computer science; Perception; Anatomy; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007411925,0.00125265,0.00157521,0.001559422,0.0003073209,0.001121515,0.001192161,0.001421103,0.003583546],"category_scores_gemma":[0.00075773,0.0003744838,0.0004167316,0.001787153,0.001047411,0.002033556,0.0007879167,0.00165403,0.002725159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008487173,"about_ca_system_score_gemma":0.001305267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001977934,"about_ca_topic_score_gemma":0.003758743,"domain_scores_codex":[0.9998549,0.0000184205,0.00002371312,0.0000379725,0.00004923948,0.00001570015],"domain_scores_gemma":[0.9997435,0.0001133534,0.00002849111,0.0000123746,0.00007932898,0.00002293481],"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":[0.00007948501,0.00004030994,0.0001077627,0.006308447,0.00007033665,0.0001814869,0.00003134949,0.000309299,0.002799926,0.00349421,0.02501769,0.9615598],"study_design_scores_gemma":[0.00003512971,0.00008053872,0.001590643,0.00298526,0.0001989224,0.002250436,0.00009622562,0.000196558,0.001656924,0.007265917,0.9836019,0.00004158386],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001768867,0.9964094,0.0006650007,0.0003019067,0.0003999874,0.00000788179,0.00002482289,0.00001371329,0.002000495],"genre_scores_gemma":[0.0009728993,0.9966757,0.0006569768,0.0002071316,0.0002993218,0.000008508525,0.00004025935,0.000003354778,0.001135739],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003583546,"threshold_uncertainty_score":0.01198816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5735341810391188,"score_gpt":0.5273347117885642,"score_spread":0.04619946925055463,"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."}}