{"id":"W4415370704","doi":"10.14430/arctic82176","title":"Range Dynamics of Barren-Ground Caribou Implied by Historical Population Cycles and Logistic Growth","year":2025,"lang":"","type":"article","venue":"ARCTIC","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Population; Population growth; Annual cycle; Logistic function; Census; Overgrazing; Vital rates; Grazing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006089389,0.0002779483,0.0007723692,0.0001735146,0.002911694,0.00001156266,0.0001605664,0.000478232,0.0001295004],"category_scores_gemma":[0.0006642903,0.000280399,0.00009315043,0.0003096319,0.0001797082,0.00007023774,0.0003611806,0.0006074219,0.00001544522],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004193301,"about_ca_system_score_gemma":0.0002915032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2411118,"about_ca_topic_score_gemma":0.173529,"domain_scores_codex":[0.9969898,0.0004027214,0.0009576241,0.000457985,0.0001595273,0.001032353],"domain_scores_gemma":[0.9977968,0.001081087,0.0003847463,0.0003050846,0.0003095106,0.0001227986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002291363,0.0002995336,0.9325895,0.00303757,0.0002540194,0.000005581359,0.01051657,0.000006138759,0.00001602509,0.04760971,0.003613732,0.001822508],"study_design_scores_gemma":[0.001906603,0.0004418059,0.96307,0.000289173,0.0006295596,0.000004367645,0.008004704,0.001672918,0.000001054525,0.02243902,0.001174104,0.0003666493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652221,0.0105302,0.001066592,0.01217738,0.005555697,0.001878138,0.0002901358,0.00005163311,0.0032281],"genre_scores_gemma":[0.9956486,0.001829211,0.0001030516,0.0005672235,0.0001122973,0.00005700622,0.0001533463,0.00002538336,0.001503924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06758285,"threshold_uncertainty_score":0.9999648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03289868656529062,"score_gpt":0.3354726238438955,"score_spread":0.3025739372786049,"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."}}