{"id":"W2538846932","doi":"10.1111/ele.12687","title":"Body size phenology in a regional bee fauna: a temporal extension of Bergmann's rule","year":2016,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Agència de Gestió d'Ajuts Universitaris i de Recerca; Ministerio de Ciencia e Innovación; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Bergmann's rule; Phenology; Ecology; Fauna; Biology; Geography","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":[0.0001103619,0.00009345837,0.0002117214,0.00001381124,0.00006460653,0.000002555743,0.0001365727,0.00008512692,0.0002236918],"category_scores_gemma":[0.00007166039,0.00003064609,0.00005807829,0.00009401638,0.0001806815,0.00004835314,0.00007491532,0.00006214772,0.00004226343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002298777,"about_ca_system_score_gemma":0.000003466752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001843115,"about_ca_topic_score_gemma":0.005008255,"domain_scores_codex":[0.9992118,0.00006228233,0.0001751659,0.0002206803,0.00006806346,0.0002619349],"domain_scores_gemma":[0.9993832,0.0004718373,0.00008164718,0.0000163473,0.00001854261,0.00002840726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005417915,0.00004594634,0.307185,0.000001062799,0.00001088108,0.00002944848,0.00001807341,1.027806e-7,0.6859408,0.0000772022,0.004983772,0.001653586],"study_design_scores_gemma":[0.0002677841,0.0001906683,0.993708,0.00001377387,0.000004746677,0.00001329723,0.0000384286,0.000001107565,0.0008515113,0.0004371479,0.004385545,0.00008795954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573067,0.00005905957,3.32686e-7,0.04235575,0.0000555646,0.0000723777,0.00001361997,0.00001956792,0.0001170365],"genre_scores_gemma":[0.9976102,0.00005813825,0.00004560998,0.002032418,0.0001074577,0.000009124875,0.000003440526,5.485301e-7,0.0001331093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6865231,"threshold_uncertainty_score":0.2794724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446167781591475,"score_gpt":0.2017005633817085,"score_spread":0.1772388855657937,"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."}}