{"id":"W3018229239","doi":"10.1109/icpr48806.2021.9413275","title":"Assortative-Constrained Stochastic Block Models","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Assortativity; Stochastic block model; Computer science; Block (permutation group theory); Assortative mating; Mathematical optimization; Theoretical computer science; Complex network; Mathematics; Artificial intelligence; Biology; Ecology","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":[0.002079466,0.000956114,0.001477152,0.001263147,0.0008503206,0.001669343,0.002614737,0.001840283,0.008148602],"category_scores_gemma":[0.008293457,0.000643294,0.0010819,0.001127921,0.002191757,0.003060343,0.001901654,0.001721092,0.001204686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174722,"about_ca_system_score_gemma":0.0009255096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005248522,"about_ca_topic_score_gemma":0.005540995,"domain_scores_codex":[0.9989246,0.0004252509,0.00004788857,0.0002625422,0.000171821,0.0001678725],"domain_scores_gemma":[0.9957786,0.0021674,0.0008446239,0.0004962076,0.0003649715,0.0003481968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008927683,0.00003928489,0.001029125,0.00008191744,0.00006784675,0.0001629373,0.0001668052,0.3029902,0.002604349,0.6855977,0.001959243,0.005211215],"study_design_scores_gemma":[0.00001639939,0.00001826336,0.000202416,0.000009998826,0.00001349368,0.00004258907,0.00002375164,0.7990344,0.0003295181,0.1992845,0.00100974,0.00001485679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08491528,0.0004256187,0.9050844,0.0007921944,0.00006883022,0.0001100948,0.0006486101,0.0002457335,0.007709178],"genre_scores_gemma":[0.8943277,0.0008614479,0.08227221,0.0004325092,0.0001632857,0.0004630217,0.0008505122,0.0001809331,0.02044827],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008148602,"threshold_uncertainty_score":0.02725983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08083786841613917,"score_gpt":0.2889687228101905,"score_spread":0.2081308543940514,"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."}}