{"id":"W1941742959","doi":"10.1002/wcc.127","title":"Design of conservation strategies for climate adaptation","year":2011,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Climate Change","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Climate change; Environmental resource management; Adaptive management; Adaptation (eye); Geography; Wildlife; Environmental planning; Ecosystem; Wildlife conservation; Ecology; Environmental science; Biology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008932344,0.0002722511,0.000453377,0.00005781159,0.0002234221,0.00002945492,0.0003058513,0.0001028817,0.01636103],"category_scores_gemma":[0.00002529102,0.0002331521,0.0001893076,0.0002710737,0.0002135578,0.0007462935,0.0004784007,0.00008027496,0.0008167237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001967815,"about_ca_system_score_gemma":0.000007553157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000461619,"about_ca_topic_score_gemma":0.0001513328,"domain_scores_codex":[0.9980839,0.0001365402,0.0007223451,0.0003920985,0.0001835811,0.000481574],"domain_scores_gemma":[0.9989172,0.00006607887,0.0005201422,0.0003578758,0.0000438647,0.00009483116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00789223,0.005790598,0.0534102,0.01388814,0.0002940382,0.000063428,0.3060644,0.0002256614,0.06657114,0.08091173,0.1904033,0.2744851],"study_design_scores_gemma":[0.01277345,0.01596691,0.269996,0.01096791,0.00197778,0.0002609626,0.2950703,0.07524034,0.01296778,0.04215176,0.2536585,0.008968404],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4610692,0.02457827,0.2017332,0.004292748,0.005712954,0.03913973,0.005514977,0.00138407,0.2565749],"genre_scores_gemma":[0.9081478,0.06534211,0.01633364,0.001665092,0.000271456,0.006466139,0.001478123,0.0001586359,0.0001370678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4470786,"threshold_uncertainty_score":0.9999613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2434726903060342,"score_gpt":0.3363475949159127,"score_spread":0.09287490460987846,"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."}}