{"id":"W2168128243","doi":"","title":"Forecasting impacts of climate change on indicators of British Columbia’s biodiversity","year":2012,"lang":"en","type":"dissertation","venue":"Masters Thesis","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biodiversity; Climate change; Geography; Environmental resource management; Climatology; Environmental science; Ecology; Geology; Biology","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":[],"category_scores_codex":[0.0001849319,0.0001362442,0.0003113221,0.00006289487,0.00007742197,0.00002708391,0.0002309058,0.0001850171,0.02991894],"category_scores_gemma":[0.00002409657,0.0002004907,0.0001496083,0.0002615795,0.0001055692,0.000120983,0.00008819075,0.000100585,0.00020751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002411849,"about_ca_system_score_gemma":0.000004641538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01643487,"about_ca_topic_score_gemma":0.04422321,"domain_scores_codex":[0.9987617,0.0000375796,0.0002631443,0.0002267957,0.0003719179,0.0003388193],"domain_scores_gemma":[0.9991234,0.00003666192,0.0005307994,0.0001862837,0.00001191263,0.0001109624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000106575,0.0002855799,0.9080192,0.0004681776,0.00005102307,0.000006981434,0.002135555,2.508447e-7,0.0005936578,0.000003847725,0.007954681,0.08037441],"study_design_scores_gemma":[0.0001976775,0.00009408502,0.9912318,0.0002140643,0.00008670382,0.000001709246,0.00575254,0.000001442651,0.0008664801,0.000003138505,0.001355419,0.0001949393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518231,0.0000651998,7.440698e-8,0.0000119318,0.0001946516,0.0002334948,0.001904287,0.00001592629,0.04575137],"genre_scores_gemma":[0.9985234,0.000277329,0.00001091543,0.00005354255,0.00001962373,0.00001475943,0.0006369151,0.00001420019,0.0004493746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08321254,"threshold_uncertainty_score":0.9901147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03496203831422889,"score_gpt":0.2263302335846216,"score_spread":0.1913681952703927,"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."}}