{"id":"W4254362040","doi":"10.3410/f.1123801.793544303","title":"Faculty Opinions recommendation of Unsupervised natural experience rapidly alters invariant object representation in visual cortex.","year":2018,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"","keywords":"Visual cortex; Invariant (physics); Representation (politics); Computer science; Artificial intelligence; Cognitive neuroscience of visual object recognition; Object (grammar); Psychology; Computer vision; Information retrieval; Cognitive psychology; Pattern recognition (psychology); Mathematics; 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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00108879,0.0005246334,0.0009624191,0.0006660508,0.0002592458,0.0001747824,0.001741323,0.0004784352,0.0008870306],"category_scores_gemma":[0.009919596,0.0003555861,0.0006301654,0.003906677,0.0007487586,0.0006151926,0.0004683158,0.0009350594,0.00006050462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001546036,"about_ca_system_score_gemma":0.0003798691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001726503,"about_ca_topic_score_gemma":0.00002176762,"domain_scores_codex":[0.9936393,0.001173208,0.001956366,0.001077977,0.001744167,0.000408946],"domain_scores_gemma":[0.9944838,0.0001421313,0.00156252,0.001315526,0.00224584,0.0002501597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002610684,0.0003796206,0.0000118702,0.001005076,0.00001668948,7.925693e-7,0.0006116792,1.814312e-7,0.000227539,0.00005329982,0.9958153,0.001851894],"study_design_scores_gemma":[0.000776983,0.0001280494,0.00323497,0.004444989,0.00008246194,0.00004390015,0.0001573643,0.0002160228,0.0002544122,0.00001312347,0.9902905,0.0003571868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007368632,0.0001622534,0.00003888539,0.06514879,0.0009173233,0.001082773,0.9325063,0.00003793418,0.00003203854],"genre_scores_gemma":[0.0008961034,0.0004842182,0.000226687,0.007082426,0.0001822007,0.0002106396,0.9904714,0.00002309896,0.0004232145],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05806637,"threshold_uncertainty_score":0.9998896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04969233317423583,"score_gpt":0.3933091616236759,"score_spread":0.34361682844944,"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."}}