{"id":"W3204931553","doi":"10.18435/vamp29375","title":"Constraining the body mass range of Anzu wyliei using volumetric and extant-scaling methods","year":2021,"lang":"en","type":"article","venue":"Vertebrate Anatomy Morphology Palaeontology","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extant taxon; Scaling; Range (aeronautics); Estimation; Computer science; Statistics; Mathematics; Biology; Evolutionary biology; Materials science; Geometry; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001044003,0.0002545521,0.0006882888,0.0002290746,0.0004129396,0.00002032286,0.0002435429,0.0003207925,0.00114125],"category_scores_gemma":[0.0004130976,0.0001971428,0.0001098695,0.0006684752,0.001485294,0.00009654427,0.00004477387,0.0003825949,0.00002279779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006909705,"about_ca_system_score_gemma":0.0001425879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008764754,"about_ca_topic_score_gemma":0.006826861,"domain_scores_codex":[0.996775,0.00146069,0.0005233206,0.0005290755,0.0001380237,0.0005738985],"domain_scores_gemma":[0.9979011,0.001227784,0.0002576261,0.0003254248,0.0001707246,0.0001173686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003354433,0.0000141018,0.9861283,0.00002385292,0.0001918699,0.0002825007,0.0002784307,0.00007273828,0.001729496,0.0008712718,0.0001086657,0.01026521],"study_design_scores_gemma":[0.001033346,0.0001104572,0.9558989,0.00001893754,0.0001986331,0.002262778,0.002404559,0.03432008,0.0006385937,0.001050502,0.001766635,0.0002966246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9353953,0.03704436,0.01510362,0.001024158,0.001090144,0.0002464768,0.00006228028,0.00005062376,0.009983038],"genre_scores_gemma":[0.975846,0.0007050613,0.02264649,0.0006326096,0.0000538946,0.000003854736,0.00002045573,0.000006215572,0.0000854265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04045069,"threshold_uncertainty_score":0.9997718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03422340758993933,"score_gpt":0.3103338490116433,"score_spread":0.276110441421704,"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."}}