{"id":"W2224562108","doi":"10.1017/cbo9780511760242","title":"Environmental Social Sciences","year":2010,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Natural (archaeology); Environmental social science; Deforestation (computer science); Natural resource; Environmental studies; Natural science; Environmental sociology; Politics; Geography; Social science; Environmental change; Environmental ethics; Sociology; Political science; Climate change; Ecology; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001509845,0.001122178,0.0009224768,0.001933675,0.001840978,0.005960557,0.0008651513,0.003224894,0.09576595],"category_scores_gemma":[0.003352951,0.0002972109,0.0004210317,0.003426266,0.003184473,0.003286697,0.002992012,0.003157489,0.03313243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003125257,"about_ca_system_score_gemma":0.003775277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003960297,"about_ca_topic_score_gemma":0.005134472,"domain_scores_codex":[0.9983558,0.0005403992,0.00009284547,0.000220141,0.0006786093,0.0001122278],"domain_scores_gemma":[0.9990073,0.0004338963,0.00006303363,0.0001774054,0.0002450486,0.00007340353],"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":[0.000008284949,0.00003182136,0.000270914,0.0005491807,0.0000163943,0.00009157856,0.000871447,0.0004560648,0.0001888273,0.4844893,0.3885966,0.1244296],"study_design_scores_gemma":[0.00000195455,0.000004665488,0.0001869278,0.0002283238,0.000001701193,0.00004635399,0.0001857641,0.00007081951,0.00002995583,0.05272732,0.9465129,0.000003288201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005563893,0.04089536,0.00562135,0.017891,0.003135852,0.0001148163,0.001364283,0.0002478753,0.930173],"genre_scores_gemma":[0.03811377,0.09648986,0.01086931,0.009043793,0.004480605,0.0006436873,0.002789221,0.0003610675,0.8372087],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09576595,"threshold_uncertainty_score":0.320369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08277649997438888,"score_gpt":0.2614330110870551,"score_spread":0.1786565111126663,"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."}}