{"id":"W2114673824","doi":"10.1017/s0266467405002361","title":"Temporal variation in abundance and diversity of butterflies in Bornean rain forests: opposite impacts of logging recorded in different seasons","year":2005,"lang":"en","type":"article","venue":"Journal of Tropical Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Department for Environment, Food and Rural Affairs, UK Government; Government of the United Kingdom","keywords":"Abundance (ecology); Logging; Biodiversity; Ecology; Habitat; Rainforest; Old-growth forest; Seasonality; Species diversity; Disturbance (geology); Relative species abundance; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000225482,0.00006274106,0.0002871921,0.0001220187,0.00003031898,0.000002021529,0.00008860589,0.00007312102,0.00004209427],"category_scores_gemma":[0.0001463366,0.00005282315,0.00002957642,0.00008943464,0.0001535961,0.0001431782,0.0001509203,0.0001772558,7.016245e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002272619,"about_ca_system_score_gemma":0.00001163611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001397544,"about_ca_topic_score_gemma":0.06926741,"domain_scores_codex":[0.9992096,0.0001348068,0.0003597256,0.00008538751,0.0000744983,0.0001359115],"domain_scores_gemma":[0.999424,0.0002056916,0.0002879161,0.0000389732,0.000009901091,0.00003346925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001327399,0.0001899932,0.9948291,0.0000117715,0.000009860318,0.00001121068,0.001040115,0.002974395,0.000469819,0.0001125259,0.00001738075,0.0002011038],"study_design_scores_gemma":[0.001192345,0.0002921386,0.9935825,0.00002307508,0.000006994578,0.000005541184,0.00008481153,0.003601843,0.00004774283,0.001117427,0.000004950146,0.0000406187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973705,0.00003937668,0.0001638834,0.002262133,0.00004971949,0.00006835281,0.000001693461,9.559629e-7,0.00004340174],"genre_scores_gemma":[0.998973,0.00007689902,0.0008578912,0.00006963943,0.00001166681,9.211006e-7,3.533608e-7,0.000001856204,0.000007831485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06912766,"threshold_uncertainty_score":0.9477161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008476673695975673,"score_gpt":0.2320880824236037,"score_spread":0.223611408727628,"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."}}