{"id":"W2979255327","doi":"10.1101/786236","title":"Structure-Based Protein Function Prediction using Graph Convolutional Networks","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Protein function prediction; Convolutional neural network; Graph; Function (biology); Protein structure prediction; Pattern recognition (psychology); Deep learning; Sequence (biology); Protein structure","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":[0.0003327806,0.0007886356,0.0003541204,0.0008936768,0.0002259035,0.0005116835,0.0006806973,0.0007358463,0.001043428],"category_scores_gemma":[0.0009723646,0.000335381,0.000446652,0.0006155868,0.0004770387,0.0008245564,0.0004713819,0.0007362872,0.0004744174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283452,"about_ca_system_score_gemma":0.0007135369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01274046,"about_ca_topic_score_gemma":0.0182613,"domain_scores_codex":[0.9998465,0.00002718347,0.000005222592,0.0000548568,0.00004411156,0.00002216081],"domain_scores_gemma":[0.9997209,0.0001178763,0.00003812758,0.00005144943,0.00005034732,0.00002134527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001635481,0.0001009873,0.003414763,0.00007808828,0.00007242152,0.0001295063,0.00004109888,0.8320451,0.03062147,0.0106935,0.004926453,0.117713],"study_design_scores_gemma":[0.00000182312,0.000003292714,0.0002076489,0.000001434261,0.00000191273,0.000005681145,0.000001228033,0.9954879,0.001687201,0.00242018,0.0001801516,0.000001573336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.227559,0.0008271832,0.7586055,0.000756504,0.00006135153,0.00004471424,0.001264755,0.006554556,0.004326283],"genre_scores_gemma":[0.8474239,0.0005597674,0.1451121,0.0001492393,0.00003132772,0.00004397236,0.002554877,0.0002277438,0.00389704],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01274046,"threshold_uncertainty_score":0.02533263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006971699041107137,"score_gpt":0.1951996761301314,"score_spread":0.1882279770890243,"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."}}