{"id":"W2596903121","doi":"10.4337/9781784711962.00022","title":"Climate change and settlement level impacts","year":2016,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Settlement (finance); Climate change; Geography; Environmental science; Climatology; Geology; Business; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002065303,0.0004400939,0.0004252402,0.0003667807,0.0008202851,0.001874227,0.0004483712,0.000674443,0.0005810246],"category_scores_gemma":[0.0004243086,0.0004044179,0.000141263,0.00003241763,0.00042625,0.001730044,0.0002612935,0.0004272622,0.0001498205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006330865,"about_ca_system_score_gemma":0.0002832369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008903375,"about_ca_topic_score_gemma":0.02293791,"domain_scores_codex":[0.9969155,0.000104018,0.0004943217,0.0006460944,0.001045993,0.000794131],"domain_scores_gemma":[0.9980119,0.0002527097,0.0005539835,0.0004003154,0.0003856287,0.000395465],"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":[0.00002477907,0.00001016028,0.0001531708,0.0001226176,0.00006963373,0.00001567905,0.047617,2.957858e-8,0.00004388503,0.7400506,0.03336978,0.1785227],"study_design_scores_gemma":[0.0004181413,0.00005345565,0.0005292635,0.0007858672,0.0000756565,0.000003596673,0.001390828,0.000003032127,0.00001912168,0.0268632,0.9692169,0.0006409358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000330308,0.0005115643,0.00004894156,0.007068026,0.00147424,0.001021479,0.001201927,0.0003244673,0.988019],"genre_scores_gemma":[0.01436386,0.003419274,0.0007910744,0.003063061,0.009748819,0.0002080258,0.0006255481,0.0003188496,0.9674615],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9358471,"threshold_uncertainty_score":0.9998408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.215672979026808,"score_gpt":0.3158816557555559,"score_spread":0.100208676728748,"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."}}