{"id":"W1490225135","doi":"10.1111/acv.12023","title":"Setting conservation priorities when what you see is not what you get","year":2013,"lang":"en","type":"article","venue":"Animal Conservation","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Université de Sherbrooke","funders":"","keywords":"Extinction debt; Extinction (optical mineralogy); Debt; Geography; Pessimism; Environmental resource management; Ecology; Economics; Biodiversity; Biology; Epistemology; Habitat destruction; Philosophy","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000360737,0.0002171974,0.0002028828,0.00004179406,0.0003100828,0.001125032,0.0002408339,0.0001416354,0.003557264],"category_scores_gemma":[0.00003024242,0.0001967051,0.00006357277,0.0001667397,0.00003980739,0.009570761,0.0001510884,0.0001181447,0.002815969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001122752,"about_ca_system_score_gemma":0.00002344713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008395027,"about_ca_topic_score_gemma":0.002058821,"domain_scores_codex":[0.9983219,0.00008165786,0.0004205655,0.0004169247,0.0003974654,0.0003614738],"domain_scores_gemma":[0.9992178,0.0001040744,0.000226362,0.0002890488,0.00006649221,0.00009622136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008112848,0.00005898196,0.9235527,0.0001574581,0.00004549979,0.000005562199,0.006606777,0.00002635909,0.02494983,0.0001816097,0.02965393,0.01468015],"study_design_scores_gemma":[0.000791369,0.0002366195,0.8836992,0.0003878816,0.00005740929,0.00001797429,0.008054743,0.03361509,0.01014196,0.002423369,0.05987939,0.0006950363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706767,0.0002235804,0.00002625974,0.02756681,0.0002890738,0.0004656609,0.000006507374,0.0001081838,0.0006372574],"genre_scores_gemma":[0.9791047,0.0003725534,0.0006282722,0.01898945,0.0001348897,0.00007364724,0.000068822,0.00002481416,0.0006028473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03985356,"threshold_uncertainty_score":0.9999119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851310165854196,"score_gpt":0.2194097627900917,"score_spread":0.2008966611315497,"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."}}