{"id":"W2944935347","doi":"10.3390/e21050525","title":"Evaluating Approximations and Heuristic Measures of Integrated Information","year":2019,"lang":"en","type":"article","venue":"Entropy","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Horizon 2020 Framework Programme; Norges Forskningsråd; European Commission","keywords":"Heuristic; Computer science; Approximations of π; Mathematical optimization; Mathematics; Applied mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01370384,0.001009989,0.001217799,0.002778826,0.0005618698,0.002255067,0.001912612,0.001555625,0.0008119008],"category_scores_gemma":[0.1440428,0.0006851266,0.0006404573,0.001312559,0.002866686,0.005251725,0.00256919,0.001762257,0.000122613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003447819,"about_ca_system_score_gemma":0.00201531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005222295,"about_ca_topic_score_gemma":0.003031802,"domain_scores_codex":[0.9947132,0.002881651,0.0003463077,0.0006008512,0.001186929,0.0002710429],"domain_scores_gemma":[0.8905171,0.09234826,0.005406072,0.007584937,0.003262197,0.0008813461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000276874,0.00008111986,0.0137096,0.0002077332,0.0001854021,0.00008990616,0.0003886788,0.9102983,0.0008184453,0.04794083,0.0003995466,0.02560341],"study_design_scores_gemma":[0.0000127825,0.00009368786,0.001312281,0.00003610994,0.00001456957,0.00003067467,0.00008888589,0.975601,0.0007468134,0.0218584,0.0001803999,0.00002434888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4262313,0.0009034557,0.5680594,0.0004878203,0.00006256309,0.0001644145,0.00023798,0.000468257,0.003384731],"genre_scores_gemma":[0.8973488,0.0001460924,0.1018327,0.00006035814,0.00001886374,0.0001334187,0.0002242412,0.00004628009,0.0001893725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01370384,"threshold_uncertainty_score":0.0724737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03142982204694847,"score_gpt":0.2807008610099895,"score_spread":0.249271038963041,"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."}}