{"id":"W7098235790","doi":"","title":"Urban Sprawl on Agricultural Land (Literature Survey of Causes, Effects, Relationship with Land Use Planning and Environment) A Case Study from Jordan (Shihan Municipality","year":2016,"lang":"en","type":"article","venue":"","topic":"Ancient Mediterranean Archaeology and History","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Agriculture; Land use; Land-use planning; Agricultural land; Urban planning; Urban agriculture","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":[],"consensus_categories":[],"category_scores_codex":[0.0002634652,0.0001659791,0.0002246658,0.00006980129,0.0003176289,0.00003604369,0.00006515605,0.00005580701,0.0001340969],"category_scores_gemma":[0.00007462694,0.00008276102,0.00002214651,0.00002379104,0.0004540861,0.0002360868,0.00004180495,0.0001664429,0.000008004076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002609229,"about_ca_system_score_gemma":0.00001023503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01115109,"about_ca_topic_score_gemma":0.08477892,"domain_scores_codex":[0.9988583,0.0004024506,0.0001770646,0.0002630657,0.0001413613,0.0001577219],"domain_scores_gemma":[0.9983527,0.00121048,0.00009936581,0.0002242907,0.00003260288,0.00008056832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001965889,0.0001318023,0.9008485,0.00001667824,0.00006192744,0.0003736108,0.09699812,0.000001179779,0.000005834338,0.0006817097,0.0006576418,0.00002638819],"study_design_scores_gemma":[0.001360334,0.0005942883,0.9929379,0.0001378126,0.00006292907,0.0000383972,0.002554392,0.000002216407,0.000006873263,0.00002411077,0.002120334,0.000160363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998314,0.000513652,0.000007630192,0.00003006082,0.0001102151,0.0002777343,0.0001979759,0.00002643901,0.0005222688],"genre_scores_gemma":[0.9960218,0.000008268611,0.0000217617,0.0000453699,0.0001003759,0.00001163538,0.00008646473,0.000009840473,0.003694475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09444372,"threshold_uncertainty_score":0.9954337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05837887656742628,"score_gpt":0.2337337426473204,"score_spread":0.1753548660798941,"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."}}