{"id":"W2019552792","doi":"10.1023/b:poen.0000036929.19001.a4","title":"Descriptive Analysis of the Individual Migratory Pathways According to Environmental Typologies","year":2004,"lang":"en","type":"article","venue":"Population and Environment","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Geography; Environmental degradation; Destinations; Land degradation; Environmental change; Land use; Environmental planning; Environmental resource management; Climate change; Environmental science; Ecology; Agriculture; Tourism; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002202689,0.00006774693,0.000100916,0.0000974517,0.0002919561,0.00002136145,0.00008100165,0.0000454772,0.0000567925],"category_scores_gemma":[0.00003416995,0.00005696574,0.00005430138,0.0001828087,0.000115213,0.0001131503,0.0000544787,0.00003511606,0.000005810779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000297602,"about_ca_system_score_gemma":0.000009306376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001876194,"about_ca_topic_score_gemma":0.004364965,"domain_scores_codex":[0.9992209,0.00007068249,0.0001554575,0.0001456237,0.0002927958,0.0001145246],"domain_scores_gemma":[0.999725,0.00002443209,0.00009810965,0.0001014688,0.000002839034,0.00004808867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007514003,0.00005937196,0.8953388,0.000002048052,0.00008998843,1.846786e-7,0.08059227,0.01029626,0.003108095,0.005332997,0.00001044812,0.005161988],"study_design_scores_gemma":[0.00008968012,0.00001614358,0.9533862,0.000003923326,0.0001379871,7.597622e-8,0.04497546,0.00004994161,0.0003343607,0.0006575889,0.0002824664,0.00006610133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985264,0.00006765474,0.0003838945,0.0005884241,0.00006048624,0.0001957512,0.0000345446,0.00001233757,0.0001305026],"genre_scores_gemma":[0.9992089,0.000154949,0.0004184999,0.0001000427,0.00002179508,0.00001386292,0.00004376371,0.000004207246,0.00003403554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05804744,"threshold_uncertainty_score":0.2836256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.139278602680745,"score_gpt":0.2786904551358876,"score_spread":0.1394118524551426,"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."}}