{"id":"W6930735514","doi":"10.5281/zenodo.14729103","title":"Kl_chains_nside_512","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Chain (unit); Process (computing); Identification (biology); Set (abstract data type); Product (mathematics)","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":["insufficient_payload"],"category_scores_codex":[0.00151122,0.003351932,0.001808887,0.002279341,0.001334534,0.003398537,0.003147765,0.001800059,0.5057943],"category_scores_gemma":[0.003937219,0.002702245,0.001425647,0.001916998,0.0006737602,0.004461992,0.002706296,0.002812891,0.3038048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240144,"about_ca_system_score_gemma":0.001032032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003049348,"about_ca_topic_score_gemma":0.004540617,"domain_scores_codex":[0.998343,0.0002037773,0.0001037143,0.0004515921,0.0006253964,0.0002725688],"domain_scores_gemma":[0.9981815,0.0006178106,0.0001010183,0.0005534161,0.000392125,0.000154287],"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":[0.0008655488,0.0001891682,0.001224148,0.001228644,0.0001160637,0.0001204606,0.0001409036,0.001856772,0.01575715,0.008470285,0.883982,0.08604886],"study_design_scores_gemma":[0.0007244827,0.0001311748,0.001809159,0.0002403478,0.00009359275,0.0003457917,0.00005603354,0.02963673,0.1044056,0.01610219,0.8461904,0.0002645193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.006711837,0.0006059849,0.09380708,0.0006793949,0.0005205024,0.0002304297,0.1184989,0.6284189,0.1505269],"genre_scores_gemma":[0.05955083,0.0007746802,0.09985231,0.001243598,0.0002387468,0.001067451,0.2322918,0.4514425,0.1535381],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4942057,"threshold_uncertainty_score":0.7049245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375576047367504,"score_gpt":0.2517878915206657,"score_spread":0.2280321310469906,"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."}}