{"id":"W3033386295","doi":"10.1103/physreve.101.062302","title":"Thresholding normally distributed data creates complex networks","year":2020,"lang":"en","type":"article","venue":"Physical review. E","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Army Research Office; Multidisciplinary University Research Initiative","keywords":"Thresholding; Computer science; Artificial intelligence; Image (mathematics)","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":[0.003142373,0.0004578411,0.0008281115,0.001407472,0.0004635438,0.001898053,0.0009576483,0.001173233,0.001472077],"category_scores_gemma":[0.02196298,0.0005591825,0.0005286615,0.001623549,0.002193837,0.003067878,0.001111649,0.001920005,0.0003609273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008189938,"about_ca_system_score_gemma":0.0004233491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008801637,"about_ca_topic_score_gemma":0.0009999146,"domain_scores_codex":[0.9979121,0.0007106902,0.0001109866,0.0006206984,0.0005310867,0.0001145125],"domain_scores_gemma":[0.984893,0.009824659,0.001610095,0.002616981,0.0008390163,0.0002163249],"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":[0.0002392976,0.0001593932,0.02620069,0.000532839,0.0003397963,0.001118116,0.001738629,0.3835123,0.04728079,0.3965137,0.004833394,0.1375311],"study_design_scores_gemma":[0.00001336702,0.00005941877,0.008031061,0.00005093668,0.00003517603,0.0004139537,0.0002627303,0.6694224,0.007687693,0.3096637,0.004310222,0.00004918014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.146251,0.0002987844,0.8489968,0.0007777635,0.00007388531,0.00006304058,0.0005236773,0.0003549395,0.002660087],"genre_scores_gemma":[0.8366781,0.0005848939,0.1600514,0.0003150737,0.0001183173,0.000117296,0.0007468161,0.0001508444,0.001237219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003142373,"threshold_uncertainty_score":0.01661867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08022044107650235,"score_gpt":0.3649153369086321,"score_spread":0.2846948958321298,"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."}}