{"id":"W4312694542","doi":"10.1017/s0140525x22000358","title":"Markov blankets and the preformationist assumption","year":2022,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Instrumentalism; Interpretation (philosophy); Epistemology; Perspective (graphical); Markov process; Markov chain; Psychology; Computer science; Mathematical economics; Philosophy; Mathematics; Artificial intelligence; Machine learning; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008335277,0.00008514324,0.0001708046,0.0001550154,0.002952918,0.001135478,0.0005444029,0.00001652068,0.0004742144],"category_scores_gemma":[0.0002779523,0.0000417556,0.00004980454,0.00066613,0.0007959582,0.0004050686,0.0006190339,0.00009930712,0.00001333862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001437437,"about_ca_system_score_gemma":0.0000351358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001841543,"about_ca_topic_score_gemma":0.00006919025,"domain_scores_codex":[0.9970458,0.0004300694,0.0004123507,0.0003604963,0.001581093,0.0001701926],"domain_scores_gemma":[0.9985029,0.0009699229,0.0001989246,0.0002104929,0.00005705114,0.00006067081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000223997,0.0001322362,0.1236911,0.000005764926,0.000005809139,0.00001449004,0.00835009,0.0001901732,0.0006198862,0.1411218,0.05818841,0.6674562],"study_design_scores_gemma":[0.002545012,0.0005766151,0.45376,0.00001775402,0.0000228076,0.0006050069,0.02839524,0.03499408,0.00001790016,0.2194639,0.2591005,0.0005011131],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904082,0.0005741017,0.0003087877,0.004700195,0.0003456174,0.0002248547,0.00001413929,0.00002040424,0.003403677],"genre_scores_gemma":[0.9966309,0.000002561687,0.0002553699,0.0004620031,0.00003704848,0.00003276416,5.935293e-7,0.000002032567,0.002576735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6669551,"threshold_uncertainty_score":0.9999014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1888514741057815,"score_gpt":0.4191844546941121,"score_spread":0.2303329805883307,"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."}}