{"id":"W4394295407","doi":"10.6084/m9.figshare.3513701","title":"Appendix E. Akaike weights of the models explaining breeding success by Tree Swallows at seven spatial scales along a gradient of agricultural intensification in southern Québec, 2004–2006, when only considering nests where >1 egg hatched (vs. hatching probability) or >1 nestling fledged (vs. number of fledglings and fledging probability).","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Akaike information criterion; Agriculture; Tree (set theory); Geography; Statistics; Econometrics; Environmental science; Mathematics; Forestry; Archaeology; Combinatorics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001747025,0.001880744,0.001269724,0.003038759,0.0009465015,0.001805166,0.003324966,0.00148666,0.1533533],"category_scores_gemma":[0.01150557,0.0009454754,0.001780136,0.004933208,0.0003506754,0.0008924059,0.001058929,0.001416705,0.05303163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005594342,"about_ca_system_score_gemma":0.006157569,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6647546,"about_ca_topic_score_gemma":0.8085551,"domain_scores_codex":[0.9992934,0.0001159384,0.0000978807,0.0001950636,0.000183641,0.0001138717],"domain_scores_gemma":[0.9921564,0.002511112,0.0006189077,0.0009546497,0.003396016,0.0003628935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006735919,0.00003840216,0.01404588,0.0006057704,0.0001599365,0.00003066503,0.00003505718,0.002808668,0.00006728382,0.0004272444,0.977446,0.004267684],"study_design_scores_gemma":[0.001778963,0.00005186396,0.1544183,0.001348597,0.0003308562,0.0001296118,0.0003016502,0.01115452,0.000390707,0.003318969,0.8266447,0.0001313096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002620305,0.00003012002,0.00008821549,0.00002787991,0.000006651223,0.00001267362,0.9992086,0.0001341407,0.0002297008],"genre_scores_gemma":[0.002853195,0.00003750118,0.0006519246,0.00003157856,0.00000653631,0.0001445651,0.9950866,0.00006830225,0.001119714],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3352454,"threshold_uncertainty_score":0.6744394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970407863284891,"score_gpt":0.2198437231001175,"score_spread":0.2001396444672686,"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."}}