{"id":"W4248789057","doi":"10.31234/osf.io/j3p8e","title":"An Autocatalytic Network Model of Conceptual Change","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Merge (version control); Conceptual change; Cognition; Mental representation; Sociocultural evolution; Computer science; Cognitive science; Causal structure; Process (computing); Artificial intelligence; Cognitive psychology; Psychology; Neuroscience; Physics; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001042147,0.0004472265,0.0003909343,0.001370726,0.0009199182,0.001995502,0.002302252,0.001825815,0.01172802],"category_scores_gemma":[0.003724262,0.0003791772,0.001074336,0.001108621,0.002754654,0.005790452,0.001431375,0.001438524,0.001152166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001893631,"about_ca_system_score_gemma":0.0009707392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005267526,"about_ca_topic_score_gemma":0.003764096,"domain_scores_codex":[0.9994308,0.0002161797,0.00001684877,0.0001514165,0.0001100768,0.0000747104],"domain_scores_gemma":[0.9985269,0.000770268,0.0001727265,0.0001660686,0.0002029239,0.0001610572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003529451,0.00003865203,0.0006483636,0.00004271369,0.00001912655,0.0001762136,0.0007431211,0.1080472,0.0009793654,0.8803252,0.0007859522,0.008158822],"study_design_scores_gemma":[0.00002435433,0.0000227864,0.0002799754,0.00001208592,0.0000119546,0.0000966358,0.0001312994,0.4184892,0.0001706137,0.5761947,0.004551498,0.00001488887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1654698,0.0009550556,0.6763721,0.004845358,0.0001419251,0.000217526,0.0006187787,0.000495354,0.1508843],"genre_scores_gemma":[0.8855902,0.0007080954,0.08526523,0.0002426134,0.00007091879,0.0004164003,0.0002372404,0.00008302513,0.02738631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01172802,"threshold_uncertainty_score":0.0392341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07247405514279413,"score_gpt":0.2959832723989408,"score_spread":0.2235092172561466,"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."}}