{"id":"W6928957407","doi":"10.4230/lipics.ecrts.2024","title":"LIPIcs, Volume 298, ECRTS 2024, Complete Volume","year":2024,"lang":"en","type":"other","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"","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":[0.001205706,0.003123751,0.002413399,0.003607636,0.0009330963,0.00871248,0.002519446,0.001904663,0.7302619],"category_scores_gemma":[0.005104969,0.001138279,0.0009595398,0.004838657,0.0006543781,0.005290691,0.002454674,0.00280387,0.6921311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002280416,"about_ca_system_score_gemma":0.001791403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002248815,"about_ca_topic_score_gemma":0.003669853,"domain_scores_codex":[0.9986946,0.00009030123,0.00007400817,0.0002093342,0.0008243328,0.0001073598],"domain_scores_gemma":[0.9985072,0.0003235375,0.0000901706,0.0002777437,0.0003945987,0.0004066349],"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":[0.00006308287,0.00002886982,0.00003560859,0.000221876,0.00001097941,0.00001478254,0.000008902555,0.0006346637,0.001087369,0.005099,0.9254481,0.06734678],"study_design_scores_gemma":[0.00002854357,0.00001788318,0.0001812532,0.00008076627,0.000008917969,0.00005409829,0.00001197764,0.001358433,0.001318708,0.007210417,0.9897109,0.00001812204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007604326,0.005676758,0.03553479,0.002093343,0.005491325,0.0002500489,0.04249852,0.03011268,0.8775821],"genre_scores_gemma":[0.002627996,0.00323797,0.009185087,0.0004562698,0.001159201,0.0002662794,0.03519182,0.01392909,0.9339463],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7302619,"threshold_uncertainty_score":0.3847486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134675045352374,"score_gpt":0.2387501874568952,"score_spread":0.2274034370033714,"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."}}