{"id":"W6948508979","doi":"10.5281/zenodo.10341259","title":"Simulated forst for paper","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Key (lock); Focus (optics); Identification (biology); Set (abstract data type); Work (physics)","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":[0.0008455269,0.000789404,0.0007186809,0.001109595,0.001451611,0.003354431,0.001466087,0.001565942,0.2754031],"category_scores_gemma":[0.006008119,0.0003234901,0.0009038523,0.0008848218,0.0007453763,0.002108846,0.001691698,0.001455257,0.05265433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633702,"about_ca_system_score_gemma":0.002452367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001857879,"about_ca_topic_score_gemma":0.002510576,"domain_scores_codex":[0.9988417,0.0002915808,0.00003745934,0.0003038352,0.0003270241,0.0001984411],"domain_scores_gemma":[0.9970977,0.0005824831,0.00008679472,0.001373801,0.0005375079,0.0003217566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001768133,0.0003485378,0.001438632,0.0003198778,0.000115408,0.0003942919,0.0001633673,0.08249146,0.005065572,0.3498716,0.4392824,0.1187406],"study_design_scores_gemma":[0.0006331332,0.0002222901,0.0007377579,0.00008431677,0.00004677801,0.0002362101,0.0001669178,0.1663566,0.009779495,0.3073312,0.5143546,0.00005070896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04084387,0.0005829642,0.1295204,0.006079639,0.005071048,0.0008276115,0.01803728,0.01350744,0.7855299],"genre_scores_gemma":[0.4490375,0.0003577353,0.05314945,0.001299571,0.0005561703,0.0005936659,0.01741465,0.00401679,0.4735744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2754031,"threshold_uncertainty_score":0.921315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04563579101940576,"score_gpt":0.2610371277707763,"score_spread":0.2154013367513705,"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."}}