{"id":"W4384346370","doi":"10.1007/978-1-0716-3327-4_29","title":"Predicting Protein Interaction Sites Using PITHIA","year":2023,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Work (physics); Human–computer interaction; Software engineering; Engineering; Mechanical engineering","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":[0.0004575407,0.001020836,0.00112935,0.001570633,0.0007694092,0.0006464201,0.0009629274,0.0007094253,0.006119695],"category_scores_gemma":[0.001078991,0.0006145706,0.00118913,0.001355403,0.0002154501,0.0006971486,0.0005648532,0.0009440185,0.002637343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002805317,"about_ca_system_score_gemma":0.0006246902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001505009,"about_ca_topic_score_gemma":0.003967059,"domain_scores_codex":[0.9997846,0.00003817003,0.00001461353,0.00007125872,0.00006223001,0.00002911826],"domain_scores_gemma":[0.9995135,0.0002352505,0.00006353093,0.00008589564,0.00006369977,0.00003807338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005493618,0.001180776,0.04949282,0.002408573,0.001272132,0.002137148,0.0003485566,0.07714345,0.3880917,0.01674567,0.05497271,0.4007127],"study_design_scores_gemma":[0.0002140061,0.00030325,0.01077929,0.00004000744,0.0003284518,0.0007852468,0.0000762063,0.8878428,0.07769792,0.007379507,0.01449533,0.00005795391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4889518,0.002520903,0.4360417,0.0003916876,0.0001649657,0.0003082684,0.01621816,0.04614058,0.009262051],"genre_scores_gemma":[0.6013293,0.0007024075,0.3676875,0.0001489476,0.00005355039,0.0003682977,0.02500714,0.001367317,0.003335615],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006119695,"threshold_uncertainty_score":0.02047241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633354726183938,"score_gpt":0.4007008054543611,"score_spread":0.3743672581925217,"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."}}