{"id":"W6929901764","doi":"10.5281/zenodo.10201867","title":"Leishmania signal peptide prediction","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Navy","funders":"","keywords":"Peptide; Leishmania; Signal peptide; Sorting; Leishmania mexicana; SIGNAL (programming language)","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":[0.0004159581,0.001503972,0.0007192413,0.001282413,0.0005649191,0.001050203,0.0007221551,0.000936112,0.08453075],"category_scores_gemma":[0.001009341,0.000529026,0.0008534152,0.001465155,0.0001400616,0.0007225526,0.0007841378,0.001000199,0.09423719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003567249,"about_ca_system_score_gemma":0.0006307777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001515102,"about_ca_topic_score_gemma":0.002445102,"domain_scores_codex":[0.999733,0.00003577462,0.00002708333,0.0000738098,0.00007791891,0.00005236604],"domain_scores_gemma":[0.9997885,0.00004869011,0.00002380142,0.00003392453,0.00006592429,0.00003916736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001904554,0.0001974004,0.002277568,0.002904477,0.0001200372,0.000786699,0.0001208364,0.002884093,0.1332567,0.004661622,0.7350139,0.1158722],"study_design_scores_gemma":[0.0004182619,0.0002399221,0.003190757,0.0002585206,0.0001520718,0.001131995,0.00009279559,0.01883666,0.07682245,0.003330104,0.8954297,0.0000967319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.05837866,0.006801898,0.08076912,0.001482611,0.001090304,0.0008573899,0.6488507,0.1007135,0.1010557],"genre_scores_gemma":[0.06679303,0.001856593,0.06976184,0.0006211014,0.0001014192,0.000458534,0.8181859,0.005972108,0.03624946],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08453075,"threshold_uncertainty_score":0.2827835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02691203344424607,"score_gpt":0.2860177846837447,"score_spread":0.2591057512394986,"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."}}