{"id":"W2163680443","doi":"10.1126/scisignal.260pe11","title":"How Perfect Can Protein Interactomes Be?","year":2009,"lang":"en","type":"article","venue":"Science Signaling","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Computational biology; Biology; Proteome; Protein–protein interaction; Organism; Spurious relationship; Genome; Fraction (chemistry); Model organism; Computer science; Genetics; Gene; Machine learning; Chemistry","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":[0.005753584,0.001042069,0.001332959,0.002021285,0.001886964,0.006268328,0.001319711,0.003786247,0.003913143],"category_scores_gemma":[0.04573002,0.001216879,0.0008200513,0.00149542,0.004818425,0.02010184,0.001969177,0.001303958,0.001714945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002007819,"about_ca_system_score_gemma":0.0008022028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00163329,"about_ca_topic_score_gemma":0.0009153399,"domain_scores_codex":[0.9957807,0.001556283,0.0002627624,0.001177401,0.0009109113,0.000311847],"domain_scores_gemma":[0.9789457,0.01135611,0.003154325,0.003379901,0.002094563,0.001069489],"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":[0.0007058032,0.0001649201,0.05288659,0.001225189,0.0004150917,0.000640201,0.001174522,0.04315067,0.01090395,0.7168432,0.01749573,0.1543941],"study_design_scores_gemma":[0.00005496814,0.00008806781,0.01674352,0.0002257477,0.0001304914,0.001504341,0.000714609,0.03723529,0.00726073,0.9070808,0.02886645,0.00009499273],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5142521,0.03263821,0.3282709,0.0563894,0.0008822113,0.0001805376,0.004928982,0.00191546,0.06054211],"genre_scores_gemma":[0.9474592,0.003891421,0.04203305,0.002011929,0.0002069103,0.0001552061,0.0008717171,0.000204238,0.003166416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006268328,"threshold_uncertainty_score":0.03042829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009351868958674295,"score_gpt":0.2375925917934143,"score_spread":0.22824072283474,"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."}}