{"id":"W3123254920","doi":"","title":"Stability in informal insurances: an approach by networks and overlapping coalitions","year":2014,"lang":"en","type":"article","venue":"Cahiers de recherche","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Stability (learning theory); Empirical research; Financial stability; Developing country; Economics; Microeconomics; Business; Public economics; Computer science; Economic growth; Mathematics","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":[0.001688391,0.0001084273,0.0001379921,0.000005648095,0.0001631187,0.0000544923,0.0001630043,0.0004154834,0.00001459226],"category_scores_gemma":[0.0002771767,0.0000392779,0.00003120845,0.0003336957,0.0001964543,0.0002606255,0.00002490434,0.0006171773,0.000001082739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000100162,"about_ca_system_score_gemma":0.000008232257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002613015,"about_ca_topic_score_gemma":0.0002467374,"domain_scores_codex":[0.9985932,0.0006381116,0.0001585395,0.0002252989,0.00008968011,0.0002951433],"domain_scores_gemma":[0.9992136,0.0005164088,0.00004469067,0.00004743324,0.00002715929,0.0001507282],"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":[0.00009698724,0.0003905625,0.2876229,0.00005883167,0.00001592405,0.000001633279,0.005002044,0.001194801,0.101939,0.003864942,0.000447008,0.5993654],"study_design_scores_gemma":[0.0002310074,0.0001802118,0.9702668,0.00002501615,0.000006578832,0.00001321725,0.005850341,0.0163371,0.0005107158,0.001215755,0.005020235,0.0003430747],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935583,0.0002676947,0.0008182401,0.0001465515,0.00002164681,0.0001346146,0.000008602958,0.00004173156,0.005002577],"genre_scores_gemma":[0.9984,0.0003856136,0.0006933644,0.0002502865,0.0000713219,0.00001906944,0.00005719554,5.549923e-7,0.0001225322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6826439,"threshold_uncertainty_score":0.3204589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07196496254067122,"score_gpt":0.2765554469080678,"score_spread":0.2045904843673965,"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."}}