{"id":"W2130061242","doi":"10.1111/j.1523-1739.2007.00689.x","title":"Biases in Legal Listing under Canadian Endangered Species Legislation","year":2007,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of British Columbia; Université de Sherbrooke; Simon Fraser University","funders":"","keywords":"Listing (finance); Endangered species; Legislation; Content (measure theory); Business; Geography; Political science; Law; Ecology; Biology; Mathematics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005017091,0.00009685256,0.00008780863,0.0001307853,0.0001056306,0.00001939234,0.0001062147,0.00007624436,0.002217371],"category_scores_gemma":[0.0001246966,0.0001020699,0.00002122227,0.0002664864,0.0001619192,0.0001901886,0.00006113351,0.00007906635,0.0002356564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004996341,"about_ca_system_score_gemma":0.00002251176,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1860296,"about_ca_topic_score_gemma":0.8091868,"domain_scores_codex":[0.9990703,0.00004972202,0.000255924,0.0002284703,0.00008161594,0.0003139213],"domain_scores_gemma":[0.9995713,0.0001227685,0.00007332941,0.0001325067,0.000005191672,0.0000948537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000120612,0.00002402849,0.9660565,0.000001527167,0.000004059249,0.000009013082,0.0001409749,0.0004122593,0.01404721,0.01063875,0.004877994,0.003775597],"study_design_scores_gemma":[0.0001733332,0.00001622899,0.7356169,0.000004193432,0.000001888651,0.0000016807,0.0001769721,0.0004779155,0.0005338085,0.0003131729,0.2625915,0.0000924491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9303035,0.00001943757,0.002242999,0.00911055,0.0001773258,0.0002093889,0.000006453846,0.00003343365,0.0578969],"genre_scores_gemma":[0.9843679,0.00001190456,0.000719075,0.01211833,0.00002933894,0.000008492998,0.0001078592,0.00000714396,0.002629923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6231572,"threshold_uncertainty_score":0.9986947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05147588236121382,"score_gpt":0.2650873036531272,"score_spread":0.2136114212919134,"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."}}