{"id":"W3180786086","doi":"10.4000/vertigo.31673","title":"Perception et stratégies d’adaptation aux incertitudes climatiques par les exploitants agricoles des zones marécageuses au Sud-Kivu","year":2021,"lang":"fr","type":"article","venue":"VertigO","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Forestry; Geography; Art","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003431425,0.0004027155,0.0003802392,0.00003840508,0.001204398,0.0005099763,0.0003358551,0.0003621854,0.003559924],"category_scores_gemma":[0.0002542557,0.0001803889,0.0002060941,0.0007101428,0.0005214635,0.0011762,0.0002544046,0.000318098,0.0003508296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002474228,"about_ca_system_score_gemma":0.0002470288,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005096075,"about_ca_topic_score_gemma":0.03120776,"domain_scores_codex":[0.9969015,0.0005808405,0.0005058647,0.0006029068,0.0006259959,0.0007828917],"domain_scores_gemma":[0.9986331,0.0003301523,0.0001317812,0.0001063816,0.0005718346,0.0002266806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001110138,0.001011811,0.2922974,0.0004882468,0.0002230618,0.0001483894,0.007987581,0.00009209794,0.237936,0.03402662,0.02266093,0.4030169],"study_design_scores_gemma":[0.0001646657,0.000318401,0.929584,0.0005756114,0.00005093667,0.00003294602,0.03158154,0.00005572106,0.009423139,0.006320748,0.02139361,0.0004986624],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594265,0.008907347,0.0002520347,0.02746134,0.000482304,0.0002944932,0.00007641337,0.0001404535,0.002959091],"genre_scores_gemma":[0.9593284,0.02457291,0.00296984,0.0003076466,0.0006411877,0.00005875939,0.000405,0.000005742859,0.01171054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6372867,"threshold_uncertainty_score":0.9973509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06753425442589109,"score_gpt":0.2944963401786402,"score_spread":0.2269620857527491,"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."}}