{"id":"W4231561317","doi":"10.1007/978-1-4939-7131-2_101393","title":"Two-Mode Graph","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Graph; Theoretical 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":[0.0002977585,0.0007759387,0.0004578908,0.001171064,0.001003745,0.001799488,0.001236991,0.0009755,0.0688872],"category_scores_gemma":[0.001637927,0.0003381254,0.0006941874,0.001271491,0.0009841907,0.00426886,0.001449578,0.00212823,0.01550604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008593349,"about_ca_system_score_gemma":0.0006238055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001828049,"about_ca_topic_score_gemma":0.002300668,"domain_scores_codex":[0.9996829,0.0000550826,0.000009673925,0.0001118933,0.0001001306,0.00004039823],"domain_scores_gemma":[0.9994785,0.0001641706,0.00002533689,0.0001599235,0.0001150777,0.00005692532],"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":[0.00003053786,0.0000249511,0.00008190996,0.00009313207,0.000009183358,0.00006870626,0.0001066962,0.002530693,0.001245263,0.8976589,0.03883398,0.05931603],"study_design_scores_gemma":[0.000007393026,0.000007367055,0.0000971271,0.00003065949,0.000007765601,0.00009019348,0.00004620139,0.0109691,0.0008183654,0.923337,0.06457643,0.00001248609],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01253549,0.000653388,0.526245,0.002218924,0.0005583183,0.0001597659,0.002408659,0.002423175,0.4527972],"genre_scores_gemma":[0.3149774,0.002058318,0.2409271,0.001595426,0.0004362884,0.0003959174,0.006654094,0.00322645,0.4297291],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0688872,"threshold_uncertainty_score":0.2304506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607318054076329,"score_gpt":0.2896013263505173,"score_spread":0.273528145809754,"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."}}