{"id":"W6913122087","doi":"10.5281/zenodo.7968342","title":"HTRA1: A Target Enabling Package","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cerebrovascular and genetic disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Serine protease; Process (computing); Quality (philosophy); Expression (computer science); Protease","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":[0.001786228,0.001615263,0.001365947,0.001264165,0.00051843,0.002412304,0.002365996,0.001483037,0.2469906],"category_scores_gemma":[0.004769029,0.001159045,0.001325701,0.001132396,0.0003724399,0.002092113,0.002356885,0.001807372,0.2157259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005554609,"about_ca_system_score_gemma":0.0009323113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006287486,"about_ca_topic_score_gemma":0.0005334048,"domain_scores_codex":[0.9994094,0.00009694554,0.00005137272,0.000106079,0.0002418535,0.00009434985],"domain_scores_gemma":[0.9983183,0.0005983982,0.0001228223,0.0003850337,0.0003600266,0.0002154772],"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":[0.002029262,0.0001633834,0.001312856,0.002299155,0.0001302555,0.0006578742,0.0002127514,0.002282054,0.03176656,0.009021528,0.7979943,0.15213],"study_design_scores_gemma":[0.0005580853,0.000283832,0.002485994,0.0002847973,0.0001446744,0.0008514557,0.00005613009,0.008745401,0.04941982,0.01463481,0.9223504,0.0001845444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.003239154,0.001070884,0.2147473,0.0009690407,0.0005655828,0.0006666655,0.1228269,0.6225665,0.03334799],"genre_scores_gemma":[0.06297765,0.004432627,0.1801661,0.002494829,0.001039261,0.003286341,0.3671905,0.2499723,0.1284404],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2469906,"threshold_uncertainty_score":0.826266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0244197995904532,"score_gpt":0.2560857877845662,"score_spread":0.231665988194113,"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."}}