{"id":"W2479287240","doi":"10.25336/p6mw3p","title":"Migration and Climate Change","year":2015,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Climate change; Geography; Economic geography; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001162636,0.0002968795,0.0003019411,0.002265157,0.005379802,0.003895494,0.0005467203,0.0009592171,0.009890841],"category_scores_gemma":[0.003400527,0.000148491,0.0005279065,0.007489348,0.003020932,0.001278489,0.001352281,0.001678332,0.0003286018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02695396,"about_ca_system_score_gemma":0.04895132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9890933,"about_ca_topic_score_gemma":0.9941956,"domain_scores_codex":[0.99907,0.0002189749,0.0000273093,0.00008074141,0.0002316856,0.0003713577],"domain_scores_gemma":[0.9983992,0.000308158,0.0001686815,0.00008958129,0.0006318801,0.000402555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000270831,0.000266486,0.3104088,0.0009314003,0.0004321627,0.0004431348,0.0279579,0.005031486,0.0007807333,0.2681598,0.1543006,0.2310168],"study_design_scores_gemma":[0.00001893715,0.00003298132,0.5694305,0.0005690577,0.000118902,0.00007370544,0.0234705,0.0006293944,0.00011808,0.01441954,0.3910169,0.0001014566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3582363,0.1124528,0.00121551,0.1351597,0.004037473,0.00008521528,0.008455278,0.0001281647,0.3802297],"genre_scores_gemma":[0.9189108,0.0479158,0.0008442738,0.003951172,0.0005895873,0.00003051939,0.001038327,0.00003219269,0.02668736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02695396,"threshold_uncertainty_score":0.1955656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3818328365394807,"score_gpt":0.3974490501255707,"score_spread":0.01561621358608994,"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."}}