{"id":"W2908207713","doi":"10.3167/ares.2018.090108","title":"Damaging Environments","year":2018,"lang":"en","type":"article","venue":"Environment and Society","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; University of Victoria","keywords":"Securitization; Indigenous; State (computer science); Ontological security; National security; Security studies; Identity (music); Government (linguistics); Political science; Critical security studies; State security; Environmental ethics; Political economy; Sociology; Public administration; Business; Law; Network security policy; Politics; Cloud computing security; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0009531662,0.000561054,0.0003622211,0.0008801696,0.004632523,0.005026248,0.001288579,0.002209949,0.02882951],"category_scores_gemma":[0.002151374,0.0002331136,0.0004216555,0.000696038,0.004991959,0.004008808,0.008916392,0.001746901,0.004467602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175644,"about_ca_system_score_gemma":0.002585617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004403134,"about_ca_topic_score_gemma":0.00605065,"domain_scores_codex":[0.9983193,0.0003635497,0.00006507304,0.0002434283,0.0005523718,0.0004562348],"domain_scores_gemma":[0.9989823,0.0001852809,0.0001847477,0.0002431443,0.0002293168,0.0001752282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006485802,0.00009070399,0.007543867,0.0004565681,0.00004796298,0.002946483,0.01524753,0.002078487,0.003103147,0.8482171,0.02659979,0.09360355],"study_design_scores_gemma":[0.000009361192,0.00007438689,0.004389165,0.0004921792,0.00002818186,0.001707481,0.01416446,0.0004035087,0.001371552,0.1396669,0.8376564,0.00003639173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07858533,0.002985923,0.02585093,0.01090677,0.001040442,0.0001363422,0.0004848321,0.0003430648,0.8796663],"genre_scores_gemma":[0.8475868,0.004661718,0.008698793,0.004184935,0.0002622939,0.0001401049,0.0003754157,0.0001388446,0.133951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02882951,"threshold_uncertainty_score":0.09644431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511447622585977,"score_gpt":0.2715891858410849,"score_spread":0.2564747096152252,"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."}}