{"id":"W6893504907","doi":"10.5281/zenodo.16101032","title":"Hoploaceratherium tetradactylum","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Tyrrell Museum","funders":"","keywords":"Process (computing); Identification (biology); 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":[],"consensus_categories":[],"category_scores_codex":[0.00003578778,0.0002107831,0.0001102763,0.0005688028,0.0005146141,0.0001629905,0.0001753564,0.0002978954,0.01675649],"category_scores_gemma":[0.00009103813,0.00008086463,0.00007190853,0.0004910076,0.000170217,0.000330653,0.0004389457,0.0002766006,0.005698767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000367065,"about_ca_system_score_gemma":0.0001032023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003430716,"about_ca_topic_score_gemma":0.004749848,"domain_scores_codex":[0.9999659,0.00000362841,0.000001932769,0.00001284403,0.000006563513,0.000009153036],"domain_scores_gemma":[0.9999652,0.000006205487,0.00001160303,0.000004091723,0.000006271867,0.000006675572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001117258,0.0001369259,0.0289243,0.0008712428,0.00006722309,0.005082007,0.00169987,0.0007555098,0.487222,0.007451222,0.02468962,0.4419829],"study_design_scores_gemma":[0.0001443562,0.0004161772,0.5113839,0.0003374054,0.00008477573,0.01014861,0.002788874,0.0008953996,0.04107611,0.001754812,0.4309261,0.00004349298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8277953,0.002540156,0.005293882,0.0008341169,0.0004775096,0.000111848,0.004346741,0.0004290967,0.1581713],"genre_scores_gemma":[0.9656873,0.0007004541,0.001618275,0.0003156531,0.00004305003,0.00004221149,0.00188576,0.00003595086,0.02967129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01675649,"threshold_uncertainty_score":0.05605608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570563944447704,"score_gpt":0.2283126847814432,"score_spread":0.2126070453369661,"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."}}