{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006459703,0.00007142598,0.0001042748,0.0002335609,0.0002888311,0.00003708174,0.00003961105,0.00006674325,0.000006286775],"category_scores_gemma":[0.0004762856,0.00008076797,0.00001061618,0.000307982,0.00009492999,0.0004352554,0.00001164479,0.00004203779,0.00001103772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102086,"about_ca_system_score_gemma":0.00007453435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6710847,"about_ca_topic_score_gemma":0.9975716,"domain_scores_codex":[0.9991692,0.0001040496,0.0001607904,0.0001491879,0.0001621364,0.0002546049],"domain_scores_gemma":[0.9995126,0.00003918353,0.00005982252,0.00006699783,0.0001404998,0.0001809066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000460316,0.000004358644,0.831121,0.00001311213,0.00000443454,0.000003419687,0.1362034,0.00001206347,0.0000013519,0.02005759,0.000834701,0.01174002],"study_design_scores_gemma":[0.0003391705,0.00002999858,0.865409,0.00007551195,0.00001506561,0.000001190693,0.1064529,0.0009474412,0.000001509723,0.004813477,0.02169527,0.0002194655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989913,0.001865563,0.000002800295,0.003872507,0.0006263173,0.0003918127,0.00001453141,0.00003540275,0.003278015],"genre_scores_gemma":[0.997556,0.001543497,0.0001274132,0.0002738183,0.0003019982,0.00006033772,0.00006556851,0.000007311964,0.0000640181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3264869,"threshold_uncertainty_score":0.3311056,"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."}}