{"id":"W4411146327","doi":"10.1130/abs/2025rm-410012","title":"COMPETITION AND NICHE PARTITIONING IN THE STRUCTURING OF MEGAHERBIVOROUS DINOSAUR COMMUNITIES IN LARAMIDIA: EVIDENCE, CHALLENGES, AND OPPORTUNITIES","year":2025,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Paleontology and Evolutionary Biology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Structuring; Niche; Competition (biology); Niche differentiation; Computer science; Evolutionary biology; Data science; Ecology; Biology; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004735685,0.00009536813,0.0002356273,0.0000289821,0.00009879587,0.000008352957,0.0001248657,0.0001156476,0.00002400739],"category_scores_gemma":[0.000025685,0.00005957834,0.00002550844,0.00009928876,0.001863842,0.0001230031,0.00002133771,0.0002596207,2.085357e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002605856,"about_ca_system_score_gemma":0.00002525507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005169044,"about_ca_topic_score_gemma":0.008121463,"domain_scores_codex":[0.9991021,0.0002405437,0.0002447323,0.0001293167,0.00008399822,0.0001993824],"domain_scores_gemma":[0.9989079,0.0008273448,0.0001244335,0.00009097267,0.0000259294,0.00002344213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006075254,0.00005164329,0.8960372,0.0001257914,0.00002377174,0.000006112813,0.002105096,0.0003845868,0.000002445388,0.0006663629,0.000004816185,0.1005314],"study_design_scores_gemma":[0.0001881906,0.0004551385,0.9788864,0.0002044908,0.00001108955,0.00001938672,0.01663611,0.0005612261,0.00000242455,0.002425065,0.0005458709,0.00006463884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753792,0.02049837,0.0000126403,0.002342319,0.00001380003,0.0001926025,0.000003755292,0.00001075973,0.001546527],"genre_scores_gemma":[0.9813451,0.01711281,0.00118848,0.0003002411,0.000005816463,0.00001047403,0.00003242051,6.579882e-7,0.000004029798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1004668,"threshold_uncertainty_score":0.7814083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06364015305509044,"score_gpt":0.253843807050593,"score_spread":0.1902036539955025,"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."}}