{"id":"W1926547058","doi":"10.1139/cjfr-2014-0174","title":"Linking gender, climate change, adaptive capacity, and forest-based communities in Canada","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Research Council (Canada); University of Saskatchewan; Environment and Climate Change Canada","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Adaptive capacity; Climate change; Mainstreaming; Adaptive strategies; Environmental resource management; Adaptation (eye); Psychological intervention; Affect (linguistics); Resource (disambiguation); Gender mainstreaming; Political science; Adaptive management; Environmental planning; Geography; Business; Ecology; Sociology; Economics; Psychology; Forestry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002311107,0.0001094188,0.0001876637,0.0001943564,0.0003403177,0.00006495745,0.0004372835,0.00005932577,0.0002199303],"category_scores_gemma":[0.0002329777,0.0001038259,0.00003004184,0.0003279634,0.0005653281,0.0002436882,0.0000923001,0.0006529104,0.0000048538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002717478,"about_ca_system_score_gemma":0.001136611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9894426,"about_ca_topic_score_gemma":0.9999502,"domain_scores_codex":[0.9978935,0.0003646232,0.0002540912,0.0001231329,0.0005383867,0.0008262856],"domain_scores_gemma":[0.9986093,0.0004067846,0.0001021359,0.0002127417,0.00009646957,0.0005725691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000242911,0.000008080383,0.9911653,0.00004581885,0.000002520143,0.00009145983,0.003676115,0.001799064,0.000001850747,0.0007756826,0.0002020248,0.002207724],"study_design_scores_gemma":[0.0004008813,0.0001718873,0.9745402,0.0001617473,0.000002991276,0.0000300915,0.01243117,0.003636144,0.00001284502,0.004496657,0.003989332,0.000126005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99644,0.0002610119,0.0000154334,0.0007344148,0.00007889118,0.0001641292,0.00002450286,0.000001468156,0.002280165],"genre_scores_gemma":[0.9994335,0.00009858398,0.0001298856,0.0002375094,0.00006406233,0.00001223768,0.000002414267,0.00001255072,0.000009234011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01662511,"threshold_uncertainty_score":0.7106109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1301036691666629,"score_gpt":0.2873972824592956,"score_spread":0.1572936132926326,"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."}}