{"id":"W2972597576","doi":"10.1177/2514848619871047","title":"Encountering the burn: Prescribed burns as contact zones","year":2019,"lang":"en","type":"article","venue":"Environment and Planning E Nature and Space","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Prescribed burn; Fire regime; Wildfire suppression; Fire protection; National park; Scale (ratio); Embodied cognition; Environmental resource management; Geography; Ecosystem; History; Environmental ethics; Environmental planning; Ecology; Engineering; Archaeology; Civil engineering; Environmental science; Forestry; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001932503,0.0000912754,0.00009136782,0.00003899878,0.0004397737,0.0001311276,0.00009824043,0.0001166174,0.0003442517],"category_scores_gemma":[0.00002869541,0.00006573392,0.00003052319,0.00003658725,0.0001291569,0.0001688885,0.00005045017,0.0003514643,0.00003669054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001185614,"about_ca_system_score_gemma":0.000005093008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003996335,"about_ca_topic_score_gemma":0.0001909705,"domain_scores_codex":[0.999368,0.00004587424,0.00006493545,0.0001688408,0.0001797519,0.0001726022],"domain_scores_gemma":[0.9996338,0.0001641544,0.00004430175,0.00009694738,0.00000559997,0.00005521243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002695037,0.0001187247,0.7138799,0.00005045502,0.0002637359,0.00006192106,0.1745065,0.0002139324,0.008207096,0.0739941,0.0276634,0.0007707951],"study_design_scores_gemma":[0.00025107,0.0001647752,0.1603502,0.00007152423,0.00003609264,0.000009033288,0.05057334,0.00004734613,0.00007356566,0.0007816178,0.7874225,0.0002188447],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683671,0.004311603,0.000003541342,0.002713667,0.0002774863,0.0001727131,0.000002758833,0.00002315744,0.024128],"genre_scores_gemma":[0.9908918,0.0008729305,0.00005234807,0.0002655872,0.0001531201,0.000004595282,0.000002742525,0.000005545106,0.007751403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7597591,"threshold_uncertainty_score":0.3769315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009399664693725633,"score_gpt":0.2684102504572623,"score_spread":0.2590105857635367,"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."}}