{"id":"W1811614626","doi":"10.1111/acv.12223","title":"Valuing species on the cheap","year":2015,"lang":"en","type":"article","venue":"Animal Conservation","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Scleractinia; Prioritization; Context (archaeology); Biology; Ecology; Geography; Evolutionary biology; Cnidaria; Management science; Engineering; Coral; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002225349,0.00005081212,0.0000470451,0.000005789031,0.0001017909,0.00001898294,0.0000694227,0.00001245591,0.0002470653],"category_scores_gemma":[0.000116399,0.00003160411,0.00001613345,0.0000898616,0.00004094608,0.00008682111,0.0001011884,0.000040354,0.0007874844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005650851,"about_ca_system_score_gemma":0.000004386652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00053087,"about_ca_topic_score_gemma":0.000342241,"domain_scores_codex":[0.9995704,0.00002547066,0.00007455172,0.00009296081,0.0001513342,0.0000852661],"domain_scores_gemma":[0.9997997,0.00005346464,0.00003033513,0.00008195112,0.00001065413,0.00002390655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006379712,0.00003317857,0.7113641,0.000003367058,0.000008710108,0.000002580074,0.0007664294,0.000008528241,0.008898576,0.01716297,0.2602838,0.001403944],"study_design_scores_gemma":[0.0000790315,0.0001200925,0.8442186,0.000004978337,0.000003341057,0.000001310638,0.0003401963,0.0005068532,0.0005986196,0.001126602,0.1529418,0.00005860068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9038299,0.000007799543,0.00001068539,0.01116941,0.00007295975,0.00008640008,6.094986e-7,0.00002494221,0.08479731],"genre_scores_gemma":[0.9950828,0.000002501975,0.00003449172,0.001329207,0.00005738112,0.00001112555,0.000001271677,0.000002993213,0.003478225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1328544,"threshold_uncertainty_score":0.9999905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09812066693371535,"score_gpt":0.2341941266748583,"score_spread":0.136073459741143,"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."}}