{"id":"W1510811126","doi":"10.1111/j.1558-5646.2010.01018.x","title":"LINEAGES THAT CHEAT DEATH: SURVIVING THE SQUEEZE ON RANGE SIZE","year":2010,"lang":"en","type":"article","venue":"Evolution","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Extinction (optical mineralogy); Biology; Diversification (marketing strategy); Range (aeronautics); Resistance (ecology); Ecology; Extinction event; Evolutionary biology; Genetic algorithm; Climate change; Demography; Population; Biological dispersal","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":[0.0009234212,0.000298351,0.0003110393,0.0005752158,0.0008864416,0.001931135,0.0006571534,0.001174027,0.004235974],"category_scores_gemma":[0.004359618,0.0001846159,0.0002505501,0.0004301823,0.002044974,0.002368074,0.001614702,0.0009672015,0.0006574177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004440365,"about_ca_system_score_gemma":0.0002145176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000859506,"about_ca_topic_score_gemma":0.001642599,"domain_scores_codex":[0.9997833,0.00006216575,0.00001010158,0.00005818911,0.0000292124,0.00005703012],"domain_scores_gemma":[0.9982805,0.000407542,0.00060605,0.000239853,0.0001220583,0.0003438613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000833362,0.000141634,0.6398442,0.0002071605,0.0002890707,0.00324994,0.006190346,0.007305319,0.04192206,0.1357969,0.007784793,0.1564353],"study_design_scores_gemma":[0.00008636154,0.0009801167,0.7546999,0.0001720852,0.0003373644,0.009837031,0.009061014,0.02543756,0.007795295,0.1699303,0.02149071,0.000172188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757497,0.0006106134,0.005709614,0.002210607,0.00004796612,0.00001114362,0.00008612905,0.00006553322,0.01550874],"genre_scores_gemma":[0.9971853,0.0001835556,0.0009623729,0.0003752603,0.00002802055,0.000005448001,0.00004178201,0.00001373727,0.00120458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004235974,"threshold_uncertainty_score":0.01417077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097445987079358,"score_gpt":0.2288226479703006,"score_spread":0.217848188099507,"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."}}