{"id":"W4407710934","doi":"10.3390/environments12020069","title":"Spatial and Temporal Climate Change Vulnerability Assessment in the West Bank, Palestine","year":2025,"lang":"en","type":"article","venue":"Environments","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centres de Recerca de Catalunya; Canadian Institute for Advanced Research","keywords":"Palestine; West bank; Vulnerability (computing); Climate change; Geography; Spatial change; Vulnerability assessment; Physical geography; Environmental resource management; Environmental science; History; Oceanography; Geology; Ancient history; Computer science; Psychology; Computer security","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":[0.0005543135,0.0002454467,0.0001919118,0.002572704,0.000714173,0.001166766,0.0002640369,0.0002752558,0.001206205],"category_scores_gemma":[0.001284131,0.0001699477,0.0002504142,0.004602513,0.000440254,0.00054337,0.001021773,0.0003019575,0.0001223974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001874011,"about_ca_system_score_gemma":0.001406192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1018399,"about_ca_topic_score_gemma":0.1248055,"domain_scores_codex":[0.9997678,0.00007176246,0.0000230207,0.00003307402,0.00004505889,0.00005928095],"domain_scores_gemma":[0.9995978,0.0001085514,0.0001280192,0.0000252174,0.00009916011,0.00004124021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001565779,0.0001424946,0.914139,0.0001384655,0.0001317791,0.002030243,0.005538772,0.0277801,0.001503211,0.00236035,0.001308988,0.04476992],"study_design_scores_gemma":[0.00001044951,0.00009329106,0.9332258,0.0001299534,0.00006622131,0.0004478334,0.01875578,0.03969605,0.0008205281,0.001469829,0.005252817,0.0000314399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955421,0.0001938007,0.0007256269,0.0001085321,0.000005008465,0.00003005612,0.0009123761,0.00001057088,0.002471995],"genre_scores_gemma":[0.9974209,0.0002884525,0.001236962,0.00001318707,0.0000028388,0.00004387908,0.0004754246,0.000002073299,0.0005163178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1018399,"threshold_uncertainty_score":0.2024943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03923060166482931,"score_gpt":0.2770717885097143,"score_spread":0.2378411868448849,"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."}}