{"id":"W4320854748","doi":"10.48550/arxiv.2302.06403","title":"Sources of Richness and Ineffability for Phenomenally Conscious States","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Cognitive Science and Education Research","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Samsung; Institut de Valorisation des Données; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Consciousness; Epistemology; Physicalism; Perspective (graphical); Cognitive science; Function (biology); Character (mathematics); Psychology; Philosophy; Computer science; Artificial intelligence; Mathematics; Metaphysics; Evolutionary biology; Biology","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":[0.0004937156,0.000142114,0.0002246625,0.0002643112,0.0001749212,0.00005538725,0.0004879302,0.00008275578,0.00003687531],"category_scores_gemma":[0.0009710093,0.0001474039,0.00008103698,0.0005535819,0.0007912147,0.0001120519,0.0006838658,0.0002050626,0.00001731095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005233859,"about_ca_system_score_gemma":0.0002757073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001281007,"about_ca_topic_score_gemma":0.00003573253,"domain_scores_codex":[0.9985158,0.0001209773,0.000155776,0.0008224541,0.0001035156,0.0002814386],"domain_scores_gemma":[0.9979001,0.00123438,0.0001516069,0.000321842,0.0002671908,0.0001248717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001625596,0.001915846,0.7461393,0.005100985,0.0002164912,0.0002239473,0.01350855,0.09213732,0.0382019,0.09144207,0.002436239,0.007051713],"study_design_scores_gemma":[0.002724914,0.0006756872,0.07960904,0.0003681517,0.0002126446,0.000007669434,0.01553835,0.1580747,0.05111262,0.6886275,0.001466854,0.001581903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948265,0.00001442469,0.00357749,0.0002734442,0.0002081647,0.0005348971,0.0001978905,0.00005888702,0.0003083264],"genre_scores_gemma":[0.9974998,0.0002202006,0.0000291599,0.00005919425,0.0000276275,0.00000489276,0.000008518132,0.00001102041,0.002139552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6665303,"threshold_uncertainty_score":0.6010959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2466924886396841,"score_gpt":0.2748504660704522,"score_spread":0.02815797743076809,"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."}}