{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004776476,0.001005543,0.001215563,0.003019687,0.0009044752,0.004478569,0.001509126,0.001305609,0.004761103],"category_scores_gemma":[0.01960307,0.000492344,0.001484775,0.002225579,0.004880607,0.009044318,0.004117141,0.003034013,0.0006845301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002723017,"about_ca_system_score_gemma":0.001236367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001622754,"about_ca_topic_score_gemma":0.0009122252,"domain_scores_codex":[0.9956737,0.0012201,0.0003701077,0.001218198,0.001160111,0.0003577722],"domain_scores_gemma":[0.9910614,0.0039881,0.001403309,0.002290275,0.0008739894,0.0003829231],"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":[0.00003876963,0.00001437842,0.001318677,0.00007710268,0.00005553027,0.00006281018,0.0001785877,0.03086388,0.001235589,0.9466869,0.0007682484,0.01869952],"study_design_scores_gemma":[0.000007502799,0.00003495229,0.001064224,0.00003643562,0.00002169579,0.00008709241,0.00006432334,0.1277498,0.001116375,0.8662813,0.003501988,0.00003437199],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03852256,0.0007934397,0.9423153,0.0009989766,0.0001171268,0.0000595195,0.0005857343,0.0002579506,0.01634949],"genre_scores_gemma":[0.8823781,0.001097952,0.1074092,0.0003782113,0.0003951098,0.0002866746,0.0008462116,0.000238019,0.006970455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004776476,"threshold_uncertainty_score":0.02526075,"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."}}