{"id":"W2172952647","doi":"10.5287/ora-z65vy8q41","title":"Environmental effects on great tit life-histories","year":2006,"lang":"en","type":"dissertation","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences","keywords":"Woodland; Ecology; Population density; Habitat; Geography; Biology; Population; Life history theory; Life history; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002688984,0.0001481581,0.0001732228,0.0003397715,0.0002161233,0.0003302267,0.0001522219,0.0001535328,0.001763194],"category_scores_gemma":[0.001111804,0.0001447283,0.0002217517,0.0003072013,0.0002947106,0.0001421095,0.0004247579,0.0002006872,0.0001646621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850595,"about_ca_system_score_gemma":0.00009420075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00237747,"about_ca_topic_score_gemma":0.008544493,"domain_scores_codex":[0.9997336,0.000137567,0.00001347228,0.0000609437,0.00002583845,0.00002858128],"domain_scores_gemma":[0.9993248,0.0003633273,0.0001111971,0.00006227534,0.00003957763,0.00009888639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002282499,0.00003815122,0.9747015,0.00002845603,0.0001758952,0.0004792111,0.0003595339,0.001050728,0.01719165,0.0001697306,0.00009510552,0.005481713],"study_design_scores_gemma":[5.532884e-7,0.00001813946,0.9994741,8.190113e-7,0.000006989157,0.00003395512,0.00002635598,0.000284681,0.00008055775,0.00001377676,0.00005885581,0.00000135693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994661,0.00004607672,0.00008013927,0.000008320431,9.890518e-7,9.273525e-7,0.00007170284,0.000002046309,0.0003237272],"genre_scores_gemma":[0.9995758,0.00001987263,0.00007959414,0.000005969191,0.00000143636,0.000002972405,0.00008246565,0.000003428903,0.0002283983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00237747,"threshold_uncertainty_score":0.005898476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121531415656652,"score_gpt":0.2278671755033182,"score_spread":0.215714033937653,"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."}}