{"id":"W3088595886","doi":"10.1016/j.ecolind.2020.106888","title":"Elevational specialization and the monitoring of the effects of climate change in insects: Beetles in a Brazilian rainforest mountain","year":2020,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Ecology; Climate change; Range (aeronautics); Biodiversity; Ecological niche; Rainforest; Species distribution; Habitat; Context (archaeology); Bioindicator; Temperate climate; Geography; Biology","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":[0.0004304321,0.0002096585,0.0002040457,0.001323511,0.0005071976,0.0003447505,0.0002569631,0.0001821101,0.0005030876],"category_scores_gemma":[0.0007403723,0.0001592605,0.0002277172,0.001240511,0.0002882308,0.0002931573,0.000462677,0.0001335781,0.00008796339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002559286,"about_ca_system_score_gemma":0.0001501843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01652222,"about_ca_topic_score_gemma":0.06087539,"domain_scores_codex":[0.9997476,0.00007465252,0.00002704166,0.00005847424,0.00005307755,0.00003914709],"domain_scores_gemma":[0.9994431,0.00007655127,0.000305438,0.00003956485,0.00006911328,0.00006614753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003480046,0.00001902222,0.9851094,0.00004097498,0.00003207443,0.00007273285,0.001068533,0.0001207984,0.00604917,0.00002512773,0.00003799449,0.007389211],"study_design_scores_gemma":[5.605117e-7,0.000009349999,0.9996064,0.000002819657,0.000004268431,0.00004270033,0.0001188662,0.00006021126,0.00006919265,0.000004903904,0.00007954537,0.000001139864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999199,0.000189068,0.0001326911,0.0000109775,5.609665e-7,0.000006501405,0.0001274937,0.000002913612,0.0003308881],"genre_scores_gemma":[0.9992526,0.0001144488,0.0004246934,0.000005211338,0.000002393349,0.000007419651,0.0001439247,9.415592e-7,0.00004833451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01652222,"threshold_uncertainty_score":0.03285211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669736444640762,"score_gpt":0.2444145250000735,"score_spread":0.2277171605536658,"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."}}