{"id":"W4394200641","doi":"10.6084/m9.figshare.19896211","title":"Popularity Adjusted Block Models are Generalized Random Dot Product Graphs","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Popularity; Dot product; Block (permutation group theory); Product (mathematics); Computer science; Combinatorics; Mathematics; Psychology; Geometry; Social psychology","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":[0.001725412,0.001312451,0.0007867388,0.001985093,0.0007255718,0.001764015,0.002664617,0.001402738,0.007050323],"category_scores_gemma":[0.009748511,0.0005117715,0.001086669,0.003266539,0.0006743473,0.001849355,0.001019931,0.001586658,0.005839776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001742371,"about_ca_system_score_gemma":0.0008636692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02017803,"about_ca_topic_score_gemma":0.04920768,"domain_scores_codex":[0.9988268,0.0004198825,0.00006109316,0.0003779045,0.0002178837,0.00009647788],"domain_scores_gemma":[0.997541,0.00108605,0.0002889132,0.0006795119,0.0003342046,0.00007033143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003876928,0.0002715273,0.02024362,0.001073825,0.0003217743,0.0002700823,0.0002202215,0.1021294,0.00168578,0.05064182,0.7553032,0.06745114],"study_design_scores_gemma":[0.0004597422,0.0001077627,0.01622631,0.0002276597,0.0001669461,0.0007392957,0.000263946,0.4596795,0.003847786,0.1361812,0.3819774,0.0001223931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.07305393,0.003097345,0.1494532,0.003114605,0.0005011372,0.0006588977,0.7446944,0.00657459,0.01885195],"genre_scores_gemma":[0.1976917,0.001534236,0.07820633,0.0008893313,0.0001522966,0.00127549,0.7092097,0.0007337947,0.01030704],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02017803,"threshold_uncertainty_score":0.04012114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05175085411019605,"score_gpt":0.2773906454827552,"score_spread":0.2256397913725592,"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."}}