{"id":"W1535406748","doi":"10.1111/cobi.12413","title":"Benefits of integrating complementarity into priority threat management","year":2014,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"Commonwealth Scientific and Industrial Research Organisation","keywords":"Complementarity (molecular biology); Environmental resource management; Ranking (information retrieval); Management by objectives; Risk analysis (engineering); Business; Computer science; Environmental economics; Operations research; Economics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008419118,0.001098239,0.0006102514,0.002494003,0.001044067,0.002097673,0.0007528411,0.0007126552,0.003861842],"category_scores_gemma":[0.01913788,0.0003449305,0.0007194133,0.001540108,0.001085068,0.002328356,0.002855435,0.0009874824,0.0002354524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002611901,"about_ca_system_score_gemma":0.003112732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004436551,"about_ca_topic_score_gemma":0.01375822,"domain_scores_codex":[0.9880239,0.007616188,0.0003297111,0.0004144684,0.003095948,0.0005198315],"domain_scores_gemma":[0.9816945,0.01288762,0.001928916,0.0009777277,0.001876401,0.0006348216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009766367,0.001270393,0.04704093,0.001585816,0.0005664046,0.0003480344,0.001472868,0.1992256,0.01678126,0.07962113,0.002712775,0.6483982],"study_design_scores_gemma":[0.0002867153,0.005956709,0.1484804,0.001072773,0.00150077,0.001518443,0.004732026,0.5697919,0.01530984,0.2147922,0.03619448,0.0003637908],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5021296,0.001849463,0.3612001,0.003966062,0.00009441823,0.001603469,0.0002806296,0.0002986529,0.1285776],"genre_scores_gemma":[0.8926908,0.0002141737,0.1055168,0.0002017075,0.0000328958,0.0001881618,0.00005770233,0.0000209922,0.001076792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008419118,"threshold_uncertainty_score":0.04452503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03989973781839997,"score_gpt":0.2810187371241949,"score_spread":0.2411189993057949,"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."}}