{"id":"W4393417245","doi":"10.5281/zenodo.8333302","title":"Spatial priorities for climate-change refugia and connectivity for British Columbia (Version 1.1)","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Natural Resources Canada; Canadian Forest Service; University of Alberta","funders":"","keywords":"Climate change; Geography; Environmental resource management; Physical geography; Ecology; Environmental science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00429597,0.001482364,0.0007182269,0.008290265,0.003978083,0.005710641,0.00366398,0.001570519,0.09514245],"category_scores_gemma":[0.02140449,0.001724067,0.0009581983,0.01606022,0.0008379482,0.002174849,0.0030321,0.003017839,0.02125579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02250822,"about_ca_system_score_gemma":0.05652099,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9500365,"about_ca_topic_score_gemma":0.9660621,"domain_scores_codex":[0.9974253,0.0003294243,0.0002753737,0.0001923369,0.001327727,0.0004497531],"domain_scores_gemma":[0.9844366,0.002001031,0.0006950524,0.0007850573,0.01062305,0.00145919],"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":[0.00004038896,0.00002778692,0.006604261,0.0006322109,0.00002398011,0.00007700936,0.0005763277,0.001241547,0.0001658625,0.002783039,0.9495016,0.03832594],"study_design_scores_gemma":[0.00009731161,0.00001489559,0.06560316,0.001992777,0.00006739119,0.0001231913,0.002007897,0.001300406,0.0003183536,0.003546897,0.9247822,0.0001454943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006640819,0.002356133,0.008483844,0.005743742,0.0007886178,0.001256213,0.8389345,0.005050416,0.1307458],"genre_scores_gemma":[0.04715103,0.00626922,0.07294892,0.001788374,0.0001813218,0.005569652,0.741528,0.005085027,0.1194785],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09514245,"threshold_uncertainty_score":0.3182832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05705628570215425,"score_gpt":0.3264952488925795,"score_spread":0.2694389631904252,"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."}}