{"id":"W3118185478","doi":"10.33735/phimisci.2020.ii.64","title":"Predictive processing as a systematic basis for identifying the neural correlates of consciousness","year":2020,"lang":"en","type":"article","venue":"Philosophy and the Mind Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":161,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council; Canadian Institute for Advanced Research","keywords":"Neural correlates of consciousness; Consciousness; Predictive value; Artificial neural network; Cognitive science; Psychology; Artificial intelligence; Cognitive psychology; Computer science; Cognition; Neuroscience; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0005735591,0.00009138499,0.0001876553,0.00002493767,0.000830955,0.0001592747,0.0003353473,0.00001980113,0.000002921578],"category_scores_gemma":[0.001356126,0.00004097603,0.00006603984,0.0003839226,0.001402394,0.0002283395,0.00007042704,0.00008013151,0.000001825256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003430686,"about_ca_system_score_gemma":0.00002827407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003996327,"about_ca_topic_score_gemma":7.338249e-7,"domain_scores_codex":[0.9989584,0.0001517625,0.0002251287,0.0002687775,0.0002632734,0.0001326274],"domain_scores_gemma":[0.9981288,0.001501923,0.0002180882,0.00007560559,0.00003936829,0.00003616455],"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":[0.002400171,0.0001954382,0.001826009,0.01761176,0.00009471097,0.0000164703,0.0683915,0.004169944,0.09938525,0.800527,0.0000529791,0.005328759],"study_design_scores_gemma":[0.0007052731,0.0004289926,0.00009389555,0.0007602393,0.0001241339,0.00005245212,0.002376441,0.8088927,0.01150534,0.1749106,0.000005060317,0.0001448347],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768141,0.0007999576,0.001009628,0.01791948,0.0003629739,0.001363431,0.00002066013,0.00002107655,0.001688704],"genre_scores_gemma":[0.9989519,0.00001499927,0.00001690845,0.0008822478,0.00006708923,0.0000505656,1.719576e-7,0.000003822122,0.00001234181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8047228,"threshold_uncertainty_score":0.6391118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07864489593480506,"score_gpt":0.2858946901458221,"score_spread":0.2072497942110171,"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."}}