{"id":"W3118976965","doi":"10.1109/icievicivpr48672.2020.9306543","title":"New Graph Embedding Approach for 3D Protein Shape Classification","year":2020,"lang":"en","type":"article","venue":"","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Embedding; Artificial intelligence; Graph; Pattern recognition (psychology); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001561225,0.00008962221,0.00008995855,0.00004203322,0.000102159,0.0001219755,0.0005515642,0.00003927167,0.00002481269],"category_scores_gemma":[0.00001791795,0.00007628354,0.00006918993,0.0003954594,0.00001399315,0.0003392805,0.00006808417,0.0000662473,0.00001726629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004867253,"about_ca_system_score_gemma":0.00002569393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001394465,"about_ca_topic_score_gemma":5.585651e-8,"domain_scores_codex":[0.9992054,0.00002747762,0.0001310305,0.0003515609,0.0001140134,0.0001705577],"domain_scores_gemma":[0.9995511,0.00002406772,0.00004518633,0.0002131184,0.00003205782,0.000134523],"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":[0.00000758365,0.00002043943,0.000008186948,0.0000184336,0.000007636567,3.500157e-7,0.0004479449,0.00007437377,0.006903525,0.7954952,0.001299,0.1957173],"study_design_scores_gemma":[0.0002453714,0.00007207103,0.00004176082,0.000003466408,0.000002035817,0.000001122626,0.00005877412,0.9659818,0.003157359,0.026662,0.003646839,0.0001274393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004414761,0.00003077422,0.9935425,0.001653097,0.00004784988,0.0004481983,8.826278e-7,0.0002603772,0.003574876],"genre_scores_gemma":[0.1095993,9.349629e-7,0.8893988,0.0005473149,0.0001021248,0.00005883771,0.000004437874,0.000006229685,0.0002819832],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9659074,"threshold_uncertainty_score":0.3110753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04673221061454495,"score_gpt":0.260348338256344,"score_spread":0.213616127641799,"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."}}