{"id":"W2996225418","doi":"10.3390/e22040417","title":"Representational Rényi Heterogeneity","year":2020,"lang":"en","type":"preprint","venue":"Entropy","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; Killam Trusts; Nova Scotia Health Research Foundation; Genome Canada; Dalhousie Medical Research Foundation","keywords":"Pairwise comparison; Categorical variable; Observable; A priori and a posteriori; Computer science; Set (abstract data type); Weighting; Mathematics; Theoretical computer science; Data mining; Artificial intelligence; Statistics","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001618767,0.0002265706,0.0006837057,0.0001328647,0.00008531397,0.0001708048,0.0003759026,0.0001466135,0.004040666],"category_scores_gemma":[0.00007592602,0.0002761872,0.0004997893,0.0001460395,0.00003569898,0.00006057731,0.0005969905,0.000311778,0.002487132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023467,"about_ca_system_score_gemma":0.00002645657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001176831,"about_ca_topic_score_gemma":0.00003750936,"domain_scores_codex":[0.9981292,0.00002326248,0.0007614312,0.0007913213,0.00006604971,0.0002287],"domain_scores_gemma":[0.9986105,0.0000239107,0.000564952,0.0006383631,0.00003471427,0.0001275624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003269018,0.00008509303,0.07330795,0.0001699846,0.0009554468,0.00002865594,0.0003570055,0.00195438,0.00005426881,0.8972809,0.02556708,0.0002065547],"study_design_scores_gemma":[0.0007457701,0.00006151561,0.0663733,0.00004255753,0.00007050134,0.000007504268,0.00007412319,0.03759519,0.0001747193,0.4526546,0.4411179,0.001082294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5913944,0.03007653,0.1447284,0.03113387,0.01072298,0.002488286,0.007952477,0.0008655292,0.1806376],"genre_scores_gemma":[0.9950702,0.0001149663,0.001654115,0.000280691,0.0008951732,0.00005097837,0.0003271968,0.0000365337,0.001570127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4446263,"threshold_uncertainty_score":0.999969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07916968664532181,"score_gpt":0.2625980812628955,"score_spread":0.1834283946175737,"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."}}