{"id":"W2898847664","doi":"10.21203/rs.3.rs-878139/v1","title":"PSL-Recommender: Protein Subcellular Localization Prediction using Recommender System","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"Iran National Science Foundation; National Science Foundation","keywords":"Recommender system; Computer science; PSL; Machine learning; Inference; Artificial intelligence; Matrix decomposition; Data mining; Mathematics","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":[0.001561055,0.001168225,0.001427145,0.001906795,0.0007755129,0.001129244,0.00211579,0.001907103,0.008296234],"category_scores_gemma":[0.005613532,0.0005122615,0.00111862,0.002106144,0.0002128591,0.001518531,0.001082798,0.001555697,0.008033484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008432218,"about_ca_system_score_gemma":0.00137995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02082869,"about_ca_topic_score_gemma":0.03382045,"domain_scores_codex":[0.9990072,0.0002664354,0.00006276872,0.0003365582,0.0002523604,0.00007477459],"domain_scores_gemma":[0.9978418,0.0008713407,0.0001315987,0.0005049863,0.0005368308,0.0001134198],"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":[0.001125127,0.0006054047,0.0237126,0.001925108,0.0007806399,0.0004251777,0.0001986006,0.1394328,0.01342388,0.006251915,0.3866572,0.4254614],"study_design_scores_gemma":[0.0001406575,0.0001590072,0.003135039,0.00007517882,0.00009685815,0.0002486044,0.00005872122,0.9590372,0.005532227,0.004544134,0.02688953,0.00008297312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09407748,0.008733832,0.7147636,0.003822709,0.0009546816,0.0006316771,0.06505527,0.09919609,0.01276464],"genre_scores_gemma":[0.2958336,0.002540505,0.6026343,0.001139389,0.0003481374,0.0005314689,0.08086049,0.00117241,0.01493953],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02082869,"threshold_uncertainty_score":0.04141492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0551759197009809,"score_gpt":0.3660431512395883,"score_spread":0.3108672315386074,"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."}}