{"id":"W2954416773","doi":"10.21307/connections-2018-002","title":"Techniques: Dichotomizing a Network","year":2018,"lang":"en","type":"article","venue":"Connections","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Theoretical computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001360834,0.0001019492,0.000134726,0.00006620444,0.0004096558,0.00004823471,0.0001361085,0.00002594152,0.002083969],"category_scores_gemma":[0.000005871232,0.0001030642,0.0001114308,0.0004867241,0.00008733977,0.00007399033,0.00006588692,0.000113617,0.0001198941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002017942,"about_ca_system_score_gemma":0.00002190026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001593293,"about_ca_topic_score_gemma":0.00004497554,"domain_scores_codex":[0.9993097,0.00003400905,0.0001621238,0.000196409,0.00006400334,0.000233753],"domain_scores_gemma":[0.9994066,0.00006153235,0.00006196651,0.0003135416,0.0001021147,0.00005418817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001530351,0.0001655252,0.05030865,0.000003327997,0.0003299795,0.00000114284,0.0002835304,0.00004594322,0.001830235,0.4939504,0.2723139,0.180752],"study_design_scores_gemma":[0.0001633868,0.00009180032,0.001452852,0.00006341271,0.0001023129,0.000002670275,0.0001445712,0.003422788,0.009706798,0.1328114,0.8516597,0.0003782808],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02374696,0.00004745285,0.6379086,0.0002727732,0.0002767857,0.0002993915,0.000006291882,0.0009604716,0.3364812],"genre_scores_gemma":[0.9853939,0.000001586516,0.01028684,0.0001153075,0.003242297,0.0001061503,0.00001094065,0.0000168396,0.0008261858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9616469,"threshold_uncertainty_score":0.9988282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268513136783283,"score_gpt":0.2780440909624336,"score_spread":0.2653589595946008,"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."}}