{"id":"W6911015863","doi":"10.5061/dryad.nn2j150","title":"Data from: Delaying conservation actions matters for species vulnerable to climate change","year":2018,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Climate change; Vulnerability (computing); Threatened species; Population; Context (archaeology); Extinction (optical mineralogy); Adaptive management; Effects of global warming; Population viability analysis","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":[0.003033271,0.0004900876,0.0005779491,0.001336499,0.0009311426,0.002362959,0.00118714,0.001977192,0.1512783],"category_scores_gemma":[0.02831205,0.00036031,0.0006273952,0.003262921,0.0004360546,0.001446873,0.001708731,0.001449457,0.0526542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136223,"about_ca_system_score_gemma":0.003459985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01495658,"about_ca_topic_score_gemma":0.02054769,"domain_scores_codex":[0.9970162,0.0006443537,0.0005905927,0.0004344576,0.001153899,0.000160478],"domain_scores_gemma":[0.9760966,0.008320983,0.002827392,0.002686793,0.00908494,0.0009833364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001386802,0.0001657375,0.0448781,0.002106613,0.0001488789,0.0001300179,0.0002864872,0.003032462,0.0007170176,0.002552117,0.8703122,0.07428359],"study_design_scores_gemma":[0.0004080101,0.0001926994,0.06633483,0.001239951,0.0001049863,0.0001002493,0.0003887722,0.002583032,0.001210712,0.002697648,0.9246421,0.000096978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01684297,0.0009569124,0.001711215,0.009019359,0.001620213,0.0005304256,0.8865605,0.001259659,0.08149878],"genre_scores_gemma":[0.1639548,0.002523303,0.007123469,0.00649743,0.0005303359,0.002489117,0.7518931,0.0006528168,0.06433559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1512783,"threshold_uncertainty_score":0.5060764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1062187754670639,"score_gpt":0.3246591820312918,"score_spread":0.2184404065642279,"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."}}