{"id":"W6929029293","doi":"10.3886/e182843v1","title":"ECIN Replication Package for \"The Long-Run Agglomeration Effects of Early Agriculture in Europe\"","year":2022,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Brock University","funders":"","keywords":"Economies of agglomeration; Agriculture; Replication (statistics); Middle East; Homogeneous; Agricultural productivity","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004612045,0.001451738,0.001590319,0.004117556,0.001057227,0.003269776,0.002804573,0.001386197,0.460727],"category_scores_gemma":[0.04062544,0.001042806,0.002371153,0.007496298,0.0005558133,0.002264265,0.003612847,0.002059895,0.1562004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017444,"about_ca_system_score_gemma":0.003399749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01529617,"about_ca_topic_score_gemma":0.01839581,"domain_scores_codex":[0.9965293,0.0009102791,0.0004896381,0.0007612452,0.0008368775,0.0004725827],"domain_scores_gemma":[0.9774391,0.01103886,0.001184094,0.006619472,0.003225641,0.0004928831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001865242,0.00004230522,0.002456939,0.0008564456,0.000100905,0.00005545083,0.000157729,0.0004212886,0.0001478219,0.002602147,0.9848877,0.008084684],"study_design_scores_gemma":[0.0005895145,0.00005022074,0.01570634,0.0004449978,0.00006372627,0.0000710117,0.0002230436,0.0007496093,0.0007341864,0.004581274,0.9767287,0.00005728523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006597219,0.00003528451,0.003268393,0.0002210074,0.0002721914,0.0001313648,0.9865879,0.003445578,0.005378507],"genre_scores_gemma":[0.01210166,0.0001589344,0.015317,0.0003781019,0.000167134,0.004280015,0.9400276,0.01027682,0.01729266],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.460727,"threshold_uncertainty_score":0.7692074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02981761146076398,"score_gpt":0.2949282018006743,"score_spread":0.2651105903399104,"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."}}