{"id":"W6931157229","doi":"10.5281/zenodo.5278059","title":"Idiomacromerus perplexus","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nearctic ecozone; Period (music); Identification (biology); Term (time)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001387821,0.0001289461,0.0001389352,0.0002618695,0.004642836,0.0009537156,0.001157668,0.00006709983,0.009728034],"category_scores_gemma":[0.0003853012,0.0001445218,0.00008585554,0.0009517497,0.0003273678,0.0003386086,0.0003162363,0.0002009783,0.006924035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001614942,"about_ca_system_score_gemma":0.000005095409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001571167,"about_ca_topic_score_gemma":0.000005508398,"domain_scores_codex":[0.997622,0.0005192456,0.000229168,0.0003888957,0.000694387,0.0005463177],"domain_scores_gemma":[0.9988556,0.00001402551,0.00009315632,0.0004168197,0.000405961,0.0002144321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005296829,0.0003506495,0.000111359,0.00002794074,0.00006491092,0.00005226133,0.01077824,0.00003053527,0.0008558317,0.2075274,0.2969187,0.4832292],"study_design_scores_gemma":[0.000254033,0.0001237563,0.01624473,0.00001059824,0.00001216195,0.000007451241,0.001240434,0.00002631262,0.0000370899,0.001866113,0.9800007,0.000176561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06722543,0.000178778,0.0007753573,0.003170679,0.0002373084,0.0006285129,0.00006011836,0.001515466,0.9262084],"genre_scores_gemma":[0.996278,0.0002662637,0.000187667,0.0004367353,0.0002810478,2.666551e-8,0.0001776157,0.0004020452,0.001970536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9290527,"threshold_uncertainty_score":0.996653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03561902268938198,"score_gpt":0.2941088855847565,"score_spread":0.2584898628953745,"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."}}