{"id":"W26593706","doi":"10.1007/978-0-387-76713-0_2","title":"Current Approaches for Engineering Proteins with Diverse Biological Properties","year":2007,"lang":"en","type":"review","venue":"Advances in experimental medicine and biology","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Protein engineering; Computational biology; Function (biology); Posttranslational modification; Current (fluid); Computer science; Biology; Biochemical engineering; Biochemistry; Engineering; Enzyme; Cell biology","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":[0.00009247809,0.000260592,0.0005327366,0.00006662356,0.00003867996,0.000002792585,0.0001288233,0.0001824833,0.000002268855],"category_scores_gemma":[0.00001594577,0.0001398379,0.00005504073,0.00006689401,0.0002773704,0.000003824448,0.00005075819,0.0001172845,4.254303e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001301095,"about_ca_system_score_gemma":0.00002620003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003543476,"about_ca_topic_score_gemma":0.000008858059,"domain_scores_codex":[0.999036,0.00002156597,0.0002554828,0.0004271212,0.00003015386,0.0002297245],"domain_scores_gemma":[0.9997066,0.0000266419,0.0000798365,0.0001257486,0.000009459606,0.00005168794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007613847,0.0001032699,0.00004632593,0.001208325,0.00004195366,9.657323e-7,0.00004747968,0.000001289456,0.003383264,0.0006770655,0.00001583372,0.9943981],"study_design_scores_gemma":[0.0004300667,0.0009095182,0.000002262305,0.001128384,0.00003173591,0.00002887366,0.0001373061,0.000003270251,0.0009652687,0.000007842982,0.9961441,0.0002113975],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0010556,0.9957631,0.001908097,0.00001143895,0.00009371237,0.001070556,0.00003921569,0.000009459956,0.00004877669],"genre_scores_gemma":[0.008558525,0.9889135,0.0008357654,0.00001974268,0.0003034252,0.0008843869,0.0004617941,0.00001554797,0.000007287374],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9961283,"threshold_uncertainty_score":0.5702422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1945067502424027,"score_gpt":0.3941971316041673,"score_spread":0.1996903813617646,"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."}}