{"id":"W3113561531","doi":"10.13033/isahp.y2020.015","title":"ANP SUPERMATRICES: LESSONS FROM HIERARCHIES","year":2020,"lang":"en","type":"article","venue":"ISAHP proceedings","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science","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":[0.0145045,0.001035325,0.001000165,0.002421197,0.003545467,0.006308652,0.003287339,0.001619791,0.01227564],"category_scores_gemma":[0.0366867,0.0009180965,0.001286461,0.003289093,0.00766487,0.01075415,0.004846141,0.005827911,0.001778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005622057,"about_ca_system_score_gemma":0.0055144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01322102,"about_ca_topic_score_gemma":0.01778693,"domain_scores_codex":[0.9907491,0.005752464,0.0004458478,0.0007666497,0.002025622,0.0002602992],"domain_scores_gemma":[0.9717479,0.01957113,0.001118896,0.002602521,0.003621646,0.001337871],"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":[0.00002604678,0.0000386765,0.0005418769,0.0002461227,0.00003191969,0.00005549025,0.001746975,0.01059729,0.00009713381,0.9102898,0.009647651,0.06668112],"study_design_scores_gemma":[0.00001312754,0.00001026624,0.0001192553,0.00009994658,0.000004976536,0.00001788715,0.0003248669,0.01610607,0.00007183856,0.9672193,0.01600292,0.000009498035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009571127,0.004421406,0.8924786,0.02623066,0.0008109428,0.0002108991,0.0003952114,0.00052318,0.06535798],"genre_scores_gemma":[0.2242119,0.003146508,0.7621821,0.002026357,0.0006241757,0.0005463949,0.000389007,0.0003658848,0.00650774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0145045,"threshold_uncertainty_score":0.07670808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0387023024691459,"score_gpt":0.259427232569602,"score_spread":0.2207249301004561,"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."}}