{"id":"W4387667616","doi":"10.3368/le.100.2.111022-0096r","title":"Tropical Forests Provide Gendered Insurance against Illness","year":2023,"lang":"en","type":"article","venue":"Land Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"Japan Society for the Promotion of Science; University of Toronto; Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Scope (computer science); Amazon rainforest; Product (mathematics); Scale (ratio); Fishing; Natural resource; Business; Natural resource economics; Forest product; Geography; Socioeconomics; Economics; Ecology; Forest management; Biology; Forestry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00004817455,0.000104452,0.0001357076,0.000006415663,0.0002055299,0.00005613379,0.000207512,0.0000797628,0.00003472358],"category_scores_gemma":[0.00001622583,0.00003295272,0.00006723502,0.000137763,0.00003808891,0.0001199868,0.00006397581,0.00007440988,0.0003628642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001907735,"about_ca_system_score_gemma":0.000005242387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006417274,"about_ca_topic_score_gemma":0.002323044,"domain_scores_codex":[0.9992576,0.00001668093,0.0001544087,0.0002379326,0.00004641123,0.000286956],"domain_scores_gemma":[0.9997258,0.00007073742,0.00005013973,0.00004390426,0.000015083,0.00009428953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000211224,0.00001780201,0.9044274,0.000005082492,0.000007100732,0.000006593762,0.00007372737,0.0006794025,0.001835124,0.0002177507,0.001082961,0.0916259],"study_design_scores_gemma":[0.0001018142,0.00003459253,0.9688184,0.000004197449,0.00000150939,0.000003390621,0.0001363732,0.0006249619,0.000345765,0.0004801984,0.02929771,0.0001510463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978232,0.00003993229,7.898795e-7,0.000877596,0.0002052048,0.0001273513,0.00004376676,0.0001233417,0.0007588349],"genre_scores_gemma":[0.9980894,0.000575705,0.00001210778,0.0001510755,0.0003247745,0.00001679436,0.0000802098,7.668022e-7,0.0007491724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09147485,"threshold_uncertainty_score":0.4664006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666407705613585,"score_gpt":0.199966348465973,"score_spread":0.1833022714098372,"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."}}