{"id":"W4399179606","doi":"10.1139/facets-2023-0065","title":"A toolkit for greater equity, diversity, and inclusion in early-career ecology funding","year":2024,"lang":"en","type":"article","venue":"FACETS","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; University of Alberta; Wildlife Conservation Society Canada; Canadian Parks and Wilderness Society; University of British Columbia","funders":"","keywords":"Equity (law); Diversity (politics); Inclusion (mineral); Public relations; Livelihood; Ecology; Political science; Sociology; Biology; Social science; Agriculture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.06481643,0.001056516,0.0008544657,0.006316615,0.003571839,0.00862782,0.003856208,0.00283802,0.0496683],"category_scores_gemma":[0.1338909,0.00119945,0.002052326,0.004599977,0.00303645,0.01136622,0.02508141,0.004331909,0.01579761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005022999,"about_ca_system_score_gemma":0.02288228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004321874,"about_ca_topic_score_gemma":0.01148839,"domain_scores_codex":[0.949421,0.03653574,0.003838338,0.001290776,0.006977149,0.00193681],"domain_scores_gemma":[0.8555653,0.1001225,0.00532749,0.01439629,0.01439249,0.01019588],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002876858,0.0006453615,0.006464645,0.00263554,0.00006269708,0.0007604149,0.04324595,0.00333287,0.001879285,0.09080543,0.3376882,0.5121919],"study_design_scores_gemma":[0.0001820736,0.0001360723,0.003329921,0.002353808,0.00003678151,0.0003806164,0.01088667,0.004154433,0.001184606,0.1376587,0.8395112,0.0001852302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04534851,0.002297401,0.5239454,0.06407625,0.002428318,0.01359044,0.01551481,0.04370757,0.2890914],"genre_scores_gemma":[0.06733222,0.001251674,0.8539464,0.002775432,0.0002780461,0.02006537,0.005448317,0.003714094,0.04518845],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9961438,"threshold_uncertainty_score":0.3427861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3080469534741149,"score_gpt":0.4158860904106373,"score_spread":0.1078391369365224,"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."}}