{"id":"W7079682276","doi":"10.5281/zenodo.17016868","title":"Phrynidius jonesi Gutierrez, Toledo & Noguera 2020","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"State (computer science); Population; Product (mathematics); Latin Americans; 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":[0.00008259122,0.0003217394,0.0001916773,0.0005764719,0.0008691691,0.0003305423,0.0003780558,0.0003256546,0.009719962],"category_scores_gemma":[0.0002281316,0.0001844431,0.0001165898,0.0004802615,0.0004643819,0.0004859463,0.0008390333,0.0003703423,0.002220626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005248314,"about_ca_system_score_gemma":0.0005313144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02723001,"about_ca_topic_score_gemma":0.04638005,"domain_scores_codex":[0.9998971,0.000007590419,0.000006291754,0.00003170429,0.00004029948,0.00001700166],"domain_scores_gemma":[0.9999504,0.000007500728,0.00001666768,0.000005221248,0.00001224956,0.000007908707],"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":[0.001021108,0.0001296836,0.0460397,0.001129768,0.00009316444,0.004131183,0.002519946,0.001299136,0.047854,0.008444167,0.03186745,0.8554708],"study_design_scores_gemma":[0.000127084,0.0002907912,0.5722023,0.0005375386,0.0002299703,0.006993233,0.002718512,0.0009944532,0.007747971,0.001787343,0.4063169,0.00005390605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.42802,0.01383677,0.008405533,0.000969926,0.001074414,0.0004837809,0.003882106,0.0004343179,0.5428931],"genre_scores_gemma":[0.9310814,0.006111726,0.005196072,0.0004384794,0.0001836121,0.0001419273,0.001655544,0.00004921886,0.05514218],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02723001,"threshold_uncertainty_score":0.05414307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01889264508357411,"score_gpt":0.2317859580051293,"score_spread":0.2128933129215552,"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."}}