{"id":"W4385128377","doi":"10.1016/j.gloenvcha.2023.102721","title":"Comparative analysis of local adaptation processes in the future across peri-urban India to support transformations to sustainability","year":2023,"lang":"en","type":"article","venue":"Global Environmental Change","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020; Japan Science and Technology Agency; Deutsches Zentrum für Luft- und Raumfahrt; Bundesministerium für Bildung und Forschung; Academy of Finland; Fonds De La Recherche Scientifique - FNRS; Fundação de Amparo à Pesquisa do Estado de São Paulo; Fonds Wetenschappelijk Onderzoek; Belmont Forum; Economic and Social Research Council; European Commission; Réseau de cancérologie Rossy; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; International Social Science Council; National Science Foundation","keywords":"Livelihood; Adaptation (eye); Vulnerability (computing); Context (archaeology); Sustainability; Typology; Normative; Environmental planning; Delphi method; Environmental resource management; Geography; Political science; Economics; Ecology; Agriculture","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.000928775,0.0001556976,0.0001435914,0.001434871,0.002271012,0.002496975,0.000591243,0.0002687809,0.003027048],"category_scores_gemma":[0.001902587,0.0001353729,0.0003606249,0.001909168,0.002219141,0.001458983,0.002787945,0.0005272608,0.0002381887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003676053,"about_ca_system_score_gemma":0.002511484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02351621,"about_ca_topic_score_gemma":0.07225487,"domain_scores_codex":[0.9990451,0.0003808682,0.00003260145,0.00009511467,0.0001055752,0.0003407181],"domain_scores_gemma":[0.9988062,0.0003826143,0.0001796158,0.0001709382,0.0002764093,0.0001841737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003317737,0.0002237302,0.5429229,0.0005199642,0.0001025827,0.003918717,0.3229204,0.00430117,0.004786272,0.0390605,0.001965144,0.07894693],"study_design_scores_gemma":[0.000003326074,0.0001318541,0.600376,0.0001024678,0.00003956716,0.0003724515,0.3800291,0.0009090194,0.0007209785,0.002824474,0.01445043,0.00004042509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887608,0.000096272,0.0005121535,0.0002405413,0.000005499669,0.00003066773,0.0001075954,0.00001164729,0.01023467],"genre_scores_gemma":[0.9990258,0.00007558666,0.0002414569,0.00001280994,9.217781e-7,0.00001275066,0.00004237033,0.00000293907,0.000585291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02351621,"threshold_uncertainty_score":0.04675865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866173519294331,"score_gpt":0.3186393961960088,"score_spread":0.2899776610030655,"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."}}