{"id":"W7061843736","doi":"","title":"Rich Zemel: Neural Representations of Dynamic Stimuli","year":2008,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Perception; Neural activity; Neurophysiology; Computational neuroscience; Feature (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000261937,0.0005453398,0.0005335606,0.0004793098,0.0003509544,0.001598577,0.0006101531,0.0007125404,0.0291514],"category_scores_gemma":[0.001546299,0.0003257347,0.0003006141,0.0004661804,0.0007813754,0.002787275,0.001047632,0.001326759,0.005337238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005315208,"about_ca_system_score_gemma":0.0002075341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001895967,"about_ca_topic_score_gemma":0.00214801,"domain_scores_codex":[0.9999133,0.0000180579,0.000002827779,0.00002969095,0.00002813893,0.000007861663],"domain_scores_gemma":[0.9997649,0.0001483045,0.00001395928,0.00002339368,0.00002350265,0.00002605079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007369982,0.00007323407,0.0005486918,0.0005537992,0.0001251438,0.0004771032,0.0005354009,0.01066593,0.04448478,0.2101795,0.447092,0.2845274],"study_design_scores_gemma":[0.0001748223,0.0001122854,0.00509102,0.0003007074,0.00009485435,0.0006289405,0.0002047766,0.06321724,0.02769393,0.5848653,0.3174771,0.0001390743],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07835525,0.06148005,0.3949239,0.0677614,0.004083372,0.0001871386,0.006374728,0.008909849,0.3779243],"genre_scores_gemma":[0.5494978,0.03052451,0.06132369,0.004794512,0.002273287,0.0002512294,0.003433853,0.001431833,0.3464692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0291514,"threshold_uncertainty_score":0.09752119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007385137005454898,"score_gpt":0.2252672035555729,"score_spread":0.217882066550118,"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."}}