{"id":"W2227258180","doi":"","title":"Healing the Planet: GIS Helps British Columbia Respond to Climate Change with Climate Action","year":2014,"lang":"en","type":"article","venue":"Western CEDAR (Western Washington University)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Action (physics); Geography; Environmental resource management; Environmental science; Geology; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002639929,0.0003533136,0.0002533865,0.002042704,0.007770254,0.008575762,0.001222298,0.0009887895,0.01282513],"category_scores_gemma":[0.006960324,0.0003163657,0.0001406098,0.004358802,0.004541571,0.003030194,0.003963296,0.001737406,0.001704313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01888445,"about_ca_system_score_gemma":0.03890278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8974909,"about_ca_topic_score_gemma":0.9541351,"domain_scores_codex":[0.9986103,0.0006182422,0.00004336438,0.00008632892,0.0003667293,0.0002750069],"domain_scores_gemma":[0.9954897,0.001644813,0.0001290099,0.000321245,0.001585752,0.0008294808],"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":[0.00003785608,0.0001154008,0.02401077,0.0002160789,0.00003207305,0.0004629758,0.04824255,0.001722895,0.001300139,0.04725144,0.4505556,0.4260523],"study_design_scores_gemma":[0.0000121373,0.00001984865,0.0179459,0.000270852,0.00002020194,0.00006810182,0.09319813,0.001952429,0.000528298,0.0133295,0.8726005,0.00005403846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1434378,0.003227148,0.01534067,0.2376483,0.0004163432,0.0002994478,0.002608163,0.00247637,0.5945457],"genre_scores_gemma":[0.776601,0.009704761,0.05406542,0.009564601,0.0001134597,0.0002577746,0.0021129,0.0008142325,0.146766],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1025091,"threshold_uncertainty_score":0.2062255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03338367053445607,"score_gpt":0.2540665278839542,"score_spread":0.2206828573494982,"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."}}