{"id":"W2281483823","doi":"10.4095/226467","title":"Climate change impacts and adaptation: a Canadian perspective","year":2004,"lang":"en","type":"report","venue":"","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":217,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Climate change; Vulnerability (computing); Greenhouse gas; Ecological forecasting; Natural resource economics; Environmental resource management; Adaptation (eye); Political economy of climate change; Global warming; Adaptive capacity; Geography; Environmental science; Environmental planning; Ecology; Economics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003967394,0.001595129,0.001002745,0.009611077,0.007493191,0.008015621,0.001929368,0.002917052,0.01018617],"category_scores_gemma":[0.006338026,0.0005207981,0.00128529,0.0186198,0.004057919,0.003479633,0.00188738,0.00420547,0.000943777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1252593,"about_ca_system_score_gemma":0.299242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974197,"about_ca_topic_score_gemma":0.9977844,"domain_scores_codex":[0.992289,0.0005787853,0.0002542705,0.0004801348,0.005013094,0.001384593],"domain_scores_gemma":[0.9912943,0.0006500108,0.000240023,0.0001616566,0.006925667,0.0007283931],"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":[0.00004858983,0.00004872766,0.004581226,0.0008299861,0.0001066526,0.0002210093,0.001173394,0.004432018,0.0003569937,0.2991628,0.585797,0.1032416],"study_design_scores_gemma":[0.00001335074,0.00001302107,0.01542412,0.0008717859,0.00009577028,0.00007339125,0.001769425,0.001116677,0.0001725567,0.02756758,0.9527854,0.00009680035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004541464,0.1993955,0.004166762,0.3573976,0.004222936,0.000127324,0.01540583,0.0002741852,0.4144684],"genre_scores_gemma":[0.1555406,0.6847135,0.01612481,0.035767,0.003112693,0.0001940336,0.006958892,0.0002289629,0.09735947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1252593,"threshold_uncertainty_score":0.9088244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2949466883433814,"score_gpt":0.3063265792047467,"score_spread":0.01137989086136532,"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."}}