{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002334942,0.0000690919,0.0001046776,0.00001661621,0.00008200978,0.000005804036,0.0001268554,0.00004083316,0.01176327],"category_scores_gemma":[0.00003542157,0.00006159243,0.00002627563,0.0001322529,0.0001636684,0.00004696175,0.0001558732,0.00004081021,0.0001602942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000133096,"about_ca_system_score_gemma":0.000001808668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001381675,"about_ca_topic_score_gemma":0.002928619,"domain_scores_codex":[0.9994088,0.00005513204,0.0001901779,0.0001600569,0.00006766835,0.0001181116],"domain_scores_gemma":[0.9996698,0.00004442119,0.00009357308,0.0001468675,0.00001616357,0.00002916868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007863358,0.00003756919,0.8070537,0.00001060269,0.000006777293,4.300417e-8,0.0001061889,0.000003069261,0.002665312,0.1722822,0.002251256,0.01557539],"study_design_scores_gemma":[0.0002666073,0.00005855848,0.9309131,0.000005281714,0.000007004021,5.313928e-7,0.0003901931,0.000178252,0.00137701,0.002947822,0.06378197,0.0000736979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669477,0.00001483912,0.00193129,0.001390737,0.0001001707,0.0001231919,0.00002020598,0.00002533342,0.02944649],"genre_scores_gemma":[0.9974545,0.00002801625,0.001249029,0.0009871996,0.00001031722,0.00001245545,0.0001935842,0.000002699511,0.00006216382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1693344,"threshold_uncertainty_score":0.9891401,"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."}}