{"id":"W1645607609","doi":"10.3968/j.sss.1923018420130404.2741","title":"Socio-Economic Characteristics and Livelihood Assets of Wetlands Users at Ede Region, Southwestern Nigeria","year":2013,"lang":"en","type":"article","venue":"Studies in sociology of science","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Livelihood; Descriptive statistics; Poverty; Geography; Sanitation; Socioeconomics; Business; Agricultural economics; Scale (ratio); Wetland; Economic growth; Agriculture; Economics; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002743979,0.0001364653,0.0001685593,0.0006291937,0.0009652959,0.0005320406,0.0001524366,0.0002461833,0.001808914],"category_scores_gemma":[0.0005176562,0.0002070294,0.0001162969,0.0006095698,0.0003685977,0.000467769,0.0004743494,0.0002789986,0.0002093409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003667752,"about_ca_system_score_gemma":0.0003997782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01246111,"about_ca_topic_score_gemma":0.03600874,"domain_scores_codex":[0.9998754,0.00002799873,0.00001617268,0.00001430244,0.00001922433,0.00004689361],"domain_scores_gemma":[0.9996947,0.00006807176,0.0001138649,0.00001158529,0.00003086878,0.00008100268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002324569,0.0000742888,0.9881433,0.00003065363,0.000005980758,0.0005718039,0.006780494,0.00002466814,0.0005169112,0.0001131368,0.00009714522,0.003618413],"study_design_scores_gemma":[0.000001183163,0.0001205749,0.9660192,0.00004566272,0.000007426426,0.0006997157,0.03207179,0.00007037824,0.000122856,0.0000551414,0.0007793405,0.000006753125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996352,0.0000360973,0.000008430243,0.00002161528,6.788043e-7,0.000002918302,0.00003401067,2.225538e-7,0.0002607439],"genre_scores_gemma":[0.9994962,0.0001074921,0.00003528742,0.00001380089,8.947853e-7,0.000005089587,0.00003399239,2.817343e-7,0.0003069333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01246111,"threshold_uncertainty_score":0.02477717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049126374351482,"score_gpt":0.263553422382187,"score_spread":0.2330621586386722,"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."}}