{"id":"W2110482684","doi":"10.1142/9789812836939_0018","title":"DENSE GRAPHLET STATISTICS OF PROTEIN INTERACTION AND RANDOM NETWORKS","year":2008,"lang":"en","type":"article","venue":"","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Bipartite graph; Inference; Computer science; Theoretical computer science; Random graph; Biological network; Statistical inference; Class (philosophy); Artificial intelligence; Mathematics; Statistics; Combinatorics; Graph","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":[0.00284336,0.0005009102,0.001019041,0.00240916,0.0004912674,0.001280028,0.001463449,0.00150809,0.001870142],"category_scores_gemma":[0.02414826,0.0005948725,0.000595623,0.001310352,0.002377874,0.003320859,0.001227096,0.001307949,0.0003609436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231175,"about_ca_system_score_gemma":0.0004033842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042875,"about_ca_topic_score_gemma":0.0010602,"domain_scores_codex":[0.9988574,0.0005038848,0.00004167694,0.0002609864,0.0002225142,0.0001135538],"domain_scores_gemma":[0.9808236,0.01342349,0.002825577,0.001462056,0.0007937548,0.0006714484],"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":[0.000164505,0.00008049727,0.009106638,0.0001483471,0.00008378633,0.0003142936,0.0001882979,0.4005685,0.004977369,0.5673898,0.003090974,0.01388695],"study_design_scores_gemma":[0.00001397227,0.00002411101,0.002651359,0.0000103908,0.000008441181,0.000113507,0.00002110472,0.8257987,0.0006822409,0.1701809,0.0004740641,0.00002106812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5154813,0.0006132742,0.4765512,0.001106911,0.00004998207,0.00009441629,0.0008304732,0.0007399594,0.004532421],"genre_scores_gemma":[0.9790781,0.000332839,0.01805617,0.0001364811,0.00008334691,0.0001152714,0.0007863718,0.00008628968,0.001325188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00284336,"threshold_uncertainty_score":0.01503736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007157168106747165,"score_gpt":0.2184539025583155,"score_spread":0.2112967344515684,"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."}}