{"id":"W3120589942","doi":"10.1016/j.csbj.2021.01.008","title":"The thermodynamics of cognition: A mathematical treatment","year":2021,"lang":"en","type":"article","venue":"Computational and Structural Biotechnology Journal","topic":"Stress Responses and Cortisol","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Istituto Nazionale di Alta Matematica \"Francesco Severi\"","keywords":"Carnot cycle; Constructive; Cognition; Psychology; Energy (signal processing); Cognitive psychology; Cognitive science; Physics; Computer science; Neuroscience; Thermodynamics; Quantum mechanics","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":[0.00103901,0.0008833867,0.0008200563,0.001290115,0.0007885454,0.001802544,0.00124923,0.001214192,0.007382495],"category_scores_gemma":[0.001905399,0.0002791548,0.001165299,0.001000637,0.003373219,0.003516018,0.001534294,0.002051339,0.001535122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001426029,"about_ca_system_score_gemma":0.0008209043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002166166,"about_ca_topic_score_gemma":0.001006452,"domain_scores_codex":[0.9996829,0.0001018409,0.00001676194,0.00006476177,0.00009925834,0.00003444566],"domain_scores_gemma":[0.9994979,0.0002870361,0.00004763966,0.00006488101,0.00007687043,0.00002564123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001597288,0.000003277063,0.00005518295,0.000043499,0.000006505425,0.00002341679,0.00005226206,0.003800952,0.0001926771,0.991532,0.001336749,0.002951774],"study_design_scores_gemma":[0.000002179294,0.00000539821,0.0001068014,0.00001806658,0.000003595297,0.0000294262,0.00001420259,0.01257967,0.00006037812,0.9782084,0.008966242,0.000005756518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02234218,0.05425015,0.6928065,0.02282305,0.001890705,0.00009672375,0.0009867817,0.0003842695,0.2044196],"genre_scores_gemma":[0.7610248,0.03807056,0.1193903,0.004415845,0.005734636,0.0006975264,0.0005887212,0.00041977,0.06965771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007382495,"threshold_uncertainty_score":0.02469689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0210348248245175,"score_gpt":0.2747134597940949,"score_spread":0.2536786349695774,"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."}}