{"id":"W1988577166","doi":"10.4161/worm.22725","title":"Entwined engrams","year":2013,"lang":"de","type":"article","venue":"Worm","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Associative learning; Content-addressable memory; Associative property; Engram; Stimulus (psychology); Computer science; Neuroscience; Cognitive science; Artificial intelligence; Psychology; Cognitive psychology; Artificial neural network; Mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015631,0.0003542101,0.0002622944,0.00004853794,0.0001463633,0.0001544265,0.0004372709,0.0003936325,0.00120648],"category_scores_gemma":[0.00006310825,0.0003600658,0.0001919804,0.00009769226,0.0001591081,0.000005772689,0.0002496801,0.0002224385,0.003765146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003362152,"about_ca_system_score_gemma":0.0001051036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001686925,"about_ca_topic_score_gemma":0.00003711039,"domain_scores_codex":[0.9980898,0.00006562279,0.0003455983,0.0005743302,0.0002231137,0.0007015142],"domain_scores_gemma":[0.9986123,0.00001122051,0.0001218481,0.0008118825,0.0001455661,0.0002971129],"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":[0.0000582824,0.0007213491,0.008267198,0.0001954278,0.0007714141,0.00001998239,0.003112725,0.0002905425,0.7311596,0.0003319921,0.2097172,0.04535438],"study_design_scores_gemma":[0.001301913,0.0006785917,0.008329017,0.00004622896,0.0002161964,0.00001410561,0.0003337465,0.0007134972,0.2186531,0.0007936731,0.7678327,0.001087227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590865,0.02043377,0.006657909,0.002908484,0.00420819,0.0009238076,0.0000360431,0.00006648034,0.00567878],"genre_scores_gemma":[0.9822984,0.001880982,0.002317677,0.001816637,0.00228257,0.00004013984,0.000235262,0.0000699784,0.009058374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5581155,"threshold_uncertainty_score":0.9998851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006973317034733267,"score_gpt":0.2066654078418225,"score_spread":0.1996920908070892,"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."}}