{"id":"W4382065278","doi":"10.31357/vjs.v26i01.6414","title":"A Review: Keystone Environmental Problems are the Labyrinth Root causes that Resonate together with Socioeconomic Factors on Igniting Global Conflicts and Warfare","year":2023,"lang":"en","type":"article","venue":"Vidyodaya Journal of Science","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overexploitation; Natural resource; Geography; Environmental pollution; Environmental security; Environmental degradation; Population; Scarcity; Environmental planning; Environmental protection; Natural resource economics; Development economics; Ecology; Economics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002424653,0.000160159,0.0002312921,0.0001134579,0.001318137,0.0002945309,0.0007053264,0.00003085569,0.00006698682],"category_scores_gemma":[0.00006944597,0.00009460942,0.00006168326,0.0003923491,0.002721738,0.000458448,0.0001199537,0.0002086335,0.00003039806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003231958,"about_ca_system_score_gemma":0.0001209592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002058872,"about_ca_topic_score_gemma":0.0003897108,"domain_scores_codex":[0.9979005,0.0001644441,0.0002720809,0.0002732152,0.0009283124,0.0004613957],"domain_scores_gemma":[0.9990779,0.0001174102,0.0004029638,0.0001706552,0.00004471984,0.0001863812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006752385,0.0001052684,0.9329788,0.0002312516,0.0001346705,0.00007959043,0.05602958,0.0007667625,0.0004634659,0.0009993394,0.001147455,0.006996278],"study_design_scores_gemma":[0.0008060377,0.000348176,0.7322465,0.002121535,0.0001034877,0.00002853374,0.04989401,0.00002663214,0.000328323,0.0004286305,0.2132584,0.0004097381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889165,0.002093567,0.000009290638,0.007404353,0.0001261199,0.0004007125,0.00002071077,0.00003013561,0.0009986327],"genre_scores_gemma":[0.9972194,0.001783241,0.00002513682,0.000715595,0.00005401322,0.000005160386,6.101615e-7,0.00001043324,0.0001864485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.212111,"threshold_uncertainty_score":0.9999923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03766134316458974,"score_gpt":0.2848724775429625,"score_spread":0.2472111343783728,"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."}}