{"id":"W3199645492","doi":"10.21203/rs.3.rs-31100/v1","title":"Optimizing our patient’s entropy production as therapy? Hypotheses originating from the physics of physiology","year":2020,"lang":"en","type":"preprint","venue":"Research Square (Research Square)","topic":"thermodynamics and calorimetric analyses","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"University of Ottawa","keywords":"Entropy production; Entropy (arrow of time); Consciousness; Statistical physics; Fractal; Computer science; Physics; Mathematics; Artificial intelligence; Psychology; Thermodynamics; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003350232,0.0007441227,0.001183918,0.0005196414,0.00105456,0.0004396992,0.002932035,0.0007146757,0.000800846],"category_scores_gemma":[0.00664348,0.0005596486,0.0007424115,0.002358306,0.0008744584,0.0002087333,0.003452601,0.007261989,0.0001821295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008265582,"about_ca_system_score_gemma":0.001732792,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01011724,"about_ca_topic_score_gemma":0.00004559125,"domain_scores_codex":[0.986814,0.002712952,0.001043956,0.002166142,0.005320756,0.001942254],"domain_scores_gemma":[0.9884325,0.004105161,0.0005922776,0.002677064,0.003758827,0.0004341217],"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":[0.00165585,0.001759128,0.001971473,0.002419406,0.001963888,0.00007448053,0.01013249,0.005454533,0.8663796,0.005090758,0.006117856,0.09698053],"study_design_scores_gemma":[0.002573837,0.001865958,0.002542387,0.004628123,0.0001656884,0.000008047648,0.06485783,0.03392158,0.6869302,0.178186,0.02188637,0.002433977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806772,0.007543595,0.0003717449,0.004724532,0.0004858875,0.001783988,0.0007911047,0.0002206532,0.003401289],"genre_scores_gemma":[0.9880922,0.00623709,0.0006116874,0.00003775177,0.003209415,0.0005642953,0.0006104307,0.0002085448,0.0004285397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1794494,"threshold_uncertainty_score":0.9996855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1516329146343788,"score_gpt":0.4071634732050874,"score_spread":0.2555305585707086,"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."}}