{"id":"W6949160536","doi":"10.5281/zenodo.13800102","title":"CACHE Challenge #1 - WDR domain of LRRK2 - Methods, Data, Ranking, Hits, and Guidance Material","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cache; Identification (biology); Domain (mathematical analysis); Ranking (information retrieval); Section (typography); Public domain","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0073488,0.002492927,0.00390885,0.001920798,0.002677759,0.005796855,0.006750455,0.003555537,0.3463285],"category_scores_gemma":[0.0225562,0.001659639,0.00244759,0.003385284,0.0007044892,0.004162922,0.004384262,0.003978442,0.2940514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002569334,"about_ca_system_score_gemma":0.009126314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01045204,"about_ca_topic_score_gemma":0.0221152,"domain_scores_codex":[0.9951192,0.0008664361,0.0002281459,0.0006464155,0.002660083,0.0004796904],"domain_scores_gemma":[0.9892125,0.002927139,0.0003860916,0.001894047,0.004076596,0.001503588],"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":[0.00009361382,0.00003625475,0.0001504744,0.0004566663,0.00002288568,0.00001650885,0.00001388568,0.0004595509,0.0008071093,0.001052143,0.9895496,0.0073412],"study_design_scores_gemma":[0.0002269599,0.0001823412,0.0006142645,0.0002190879,0.0000460691,0.0001315488,0.00005303112,0.004041012,0.004258497,0.003879547,0.9862684,0.0000792866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00378456,0.003349284,0.02681276,0.005819516,0.003353804,0.001496243,0.8468032,0.03647692,0.07210365],"genre_scores_gemma":[0.006633837,0.001174028,0.02892279,0.002189144,0.00044905,0.002633764,0.8906392,0.01498992,0.05236817],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3463285,"threshold_uncertainty_score":0.9323831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07147574240316115,"score_gpt":0.3274651301314835,"score_spread":0.2559893877283224,"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."}}