{"id":"W4362603237","doi":"10.1016/j.heliyon.2023.e15079","title":"A mathematical meta-model for assessing the self-sufficient water resources carrying capacity across different spatial scales in Iran","year":2023,"lang":"en","type":"article","venue":"Heliyon","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; University of New Brunswick","funders":"Institut national de la recherche scientifique","keywords":"Mathematical model; Water resources; Environmental science; Econometrics; Management science; Computer science; Mathematics; Engineering; Statistics; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00134041,0.001097119,0.001254109,0.001710732,0.000704055,0.002459484,0.0028716,0.00185553,0.003278103],"category_scores_gemma":[0.002709322,0.0008160601,0.002654353,0.001608406,0.001020057,0.001967835,0.001648165,0.001272574,0.0003006817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003156624,"about_ca_system_score_gemma":0.002681035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03407886,"about_ca_topic_score_gemma":0.01747362,"domain_scores_codex":[0.9995613,0.0001428319,0.00002675037,0.0001124298,0.00006989876,0.0000868553],"domain_scores_gemma":[0.9986547,0.0007554494,0.0002271929,0.00004927554,0.0002326609,0.00008078856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000929742,0.00001092476,0.0008468705,0.000028263,0.00005202318,0.00005422819,0.00002384199,0.9859941,0.0001511025,0.01110372,0.0002222158,0.001503402],"study_design_scores_gemma":[0.000008331293,0.000009819462,0.0002200207,0.00000913284,0.00003303233,0.00001415373,0.00001888842,0.9934973,0.0000422016,0.00570722,0.0004314785,0.000008508563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1592308,0.002002516,0.8075873,0.00253811,0.0001644008,0.0002050043,0.00254123,0.0004162405,0.02531441],"genre_scores_gemma":[0.906247,0.00130295,0.08067498,0.000304906,0.00007481411,0.0006322832,0.001096216,0.0001134569,0.009553407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03407886,"threshold_uncertainty_score":0.067761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05666559792221778,"score_gpt":0.297886431295188,"score_spread":0.2412208333729703,"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."}}