{"id":"W4376276411","doi":"10.1515/cogsem-2023-2002","title":"Mnemonics as signs of memory: semiotics and agency","year":2023,"lang":"en","type":"article","venue":"Cognitive Semiotics","topic":"Embodied and Extended Cognition","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mnemonic; Semiotics; Extension (predicate logic); Metaphysics; Agency (philosophy); Object (grammar); Cognitive psychology; Cognitive science; Set (abstract data type); Psychology; Epistemology; Linguistics; Philosophy; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002815359,0.000213976,0.0002886493,0.000196862,0.0001854733,0.00003500793,0.0001641615,0.00013697,0.00006274191],"category_scores_gemma":[0.003932748,0.000216773,0.00007901865,0.0007426728,0.0003512045,0.0001468899,0.000193152,0.0002642137,0.000399917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002021909,"about_ca_system_score_gemma":0.00008371349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005043804,"about_ca_topic_score_gemma":0.000002387151,"domain_scores_codex":[0.9982911,0.0001453733,0.0003228807,0.0004616469,0.0003583837,0.0004205556],"domain_scores_gemma":[0.9980639,0.00123278,0.0001563789,0.0001903366,0.0002001284,0.0001564383],"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":[0.0003791752,0.0007795073,0.002659084,0.001057864,0.0001376602,0.001345596,0.01245919,0.0002429837,0.6232252,0.2058332,0.005201445,0.1466791],"study_design_scores_gemma":[0.001207464,0.0005497657,0.0009903163,0.0003740999,0.0001863385,0.0001022494,0.002052067,0.004456163,0.7162886,0.2728792,0.0003325872,0.0005811629],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7835183,0.0001366278,0.0004419796,0.0003114036,0.0004729022,0.0004325103,0.0001989395,0.000313449,0.2141739],"genre_scores_gemma":[0.996428,0.001272732,0.0001158287,0.0007914356,0.0000930815,0.000005519211,0.00003046187,0.00003906559,0.001223934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.21295,"threshold_uncertainty_score":0.8839749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05339008757273658,"score_gpt":0.3097275292680976,"score_spread":0.256337441695361,"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."}}