{"id":"W6967926656","doi":"10.5281/zenodo.12125968","title":"ECE1: A Target Enabling Package","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Zymogen; Peptide; Enzyme; Bombesin; Vasoconstriction","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":[0.002122278,0.001683178,0.0009014244,0.0009170116,0.0004075376,0.001696205,0.00164788,0.0009911928,0.06437109],"category_scores_gemma":[0.004152072,0.001050843,0.001339548,0.0006820523,0.0004351838,0.0019237,0.001680955,0.001802227,0.06264989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005550496,"about_ca_system_score_gemma":0.001073747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004927395,"about_ca_topic_score_gemma":0.0003299444,"domain_scores_codex":[0.9993973,0.00009262166,0.00004695655,0.0001063092,0.0002425657,0.0001142279],"domain_scores_gemma":[0.9985635,0.0004723239,0.0001236961,0.0003403776,0.0003151847,0.0001850112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004749042,0.0004423418,0.003575477,0.002282965,0.000257157,0.00152698,0.0003123922,0.009505959,0.1618048,0.02444775,0.5688247,0.2222705],"study_design_scores_gemma":[0.0006569316,0.0006080583,0.003336199,0.0001774909,0.0001553226,0.001515619,0.00005204506,0.020355,0.1651914,0.01302188,0.7947173,0.0002127361],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.01017961,0.0007568476,0.4250822,0.0007526879,0.0004114215,0.0007336755,0.04354612,0.4945203,0.02401713],"genre_scores_gemma":[0.131638,0.003784905,0.3841275,0.002024654,0.0004912776,0.002926167,0.2292465,0.1814191,0.06434188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06437109,"threshold_uncertainty_score":0.2153428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03861986640657412,"score_gpt":0.2872465456840001,"score_spread":0.248626679277426,"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."}}