{"id":"W3025558467","doi":"10.17118/11143/18901","title":"Migrations climatiques : un enjeu complexe","year":2019,"lang":"fr","type":"article","venue":"Le climatoscope","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Geology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001181004,0.0004712637,0.0006010869,0.0002180411,0.001079085,0.0004291626,0.0005818932,0.0004214741,0.008482669],"category_scores_gemma":[0.0001858538,0.0005481974,0.0002626765,0.001205193,0.0006112555,0.001575161,0.0001482241,0.0003753061,0.008962686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004639239,"about_ca_system_score_gemma":0.000594445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009039406,"about_ca_topic_score_gemma":0.04203746,"domain_scores_codex":[0.9956598,0.0008236427,0.0009150245,0.0007498243,0.0008183483,0.001033421],"domain_scores_gemma":[0.997394,0.0006135679,0.0005272562,0.0006781346,0.0004634179,0.0003236149],"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":[0.0000688,0.001256144,0.03198886,0.0007230153,0.0002009787,0.00001560675,0.1155709,0.0002558537,0.008179151,0.7753633,0.04954029,0.01683718],"study_design_scores_gemma":[0.002482491,0.0005733474,0.02292742,0.001048996,0.0003163001,0.00003014747,0.08126758,0.01610365,0.003860628,0.03158973,0.8377134,0.002086328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7940189,0.01193934,0.00107259,0.03133568,0.004820661,0.002014401,0.0004426979,0.0004780548,0.1538776],"genre_scores_gemma":[0.9385455,0.007113536,0.01069945,0.002519699,0.001060994,0.0001540979,0.0007803661,0.0001437515,0.03898264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7881731,"threshold_uncertainty_score":0.999697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09810113218332259,"score_gpt":0.3298001754827438,"score_spread":0.2316990432994212,"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."}}