{"id":"W561655205","doi":"","title":"Migration: Changing the World","year":2011,"lang":"en","type":"book","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; China; Index (typography); Southeast asia; Sri lanka; Ancient history; South asia; History; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004099365,0.00009092953,0.00008718244,0.0001111877,0.0004886132,0.00008434956,0.0002559563,0.0001124743,0.0109087],"category_scores_gemma":[0.00001992987,0.00005945058,0.00006963262,0.0001867306,0.000143425,0.00005849528,0.00002406359,0.0001620476,0.0004173947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008544727,"about_ca_system_score_gemma":0.0003608363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003753331,"about_ca_topic_score_gemma":0.546823,"domain_scores_codex":[0.9992952,0.00005790881,0.0001130167,0.0001176839,0.000242313,0.0001739273],"domain_scores_gemma":[0.9995626,0.00006718002,0.00008098713,0.0001656423,0.00007608585,0.00004746296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[3.930358e-7,0.000001819424,0.000004558729,0.000001380644,0.000005316657,3.505986e-7,0.01629418,3.074097e-7,4.275801e-8,0.7283145,0.2545344,0.0008428149],"study_design_scores_gemma":[0.0000156306,0.000002234761,0.000002696805,0.00001314605,0.00001137494,8.573834e-8,0.001731611,0.00006531968,5.563101e-7,0.007257932,0.9908091,0.0000903089],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000008286029,0.0001083674,0.0002321446,0.003595604,0.0004294436,0.0001885893,0.000004147203,0.00009173691,0.9953417],"genre_scores_gemma":[0.0001415686,0.0001797809,0.00008852161,0.001577112,0.0008717633,0.00001030649,0.00002483516,0.00001076884,0.9970953],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7362747,"threshold_uncertainty_score":0.9899955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02870011615259657,"score_gpt":0.281106024412065,"score_spread":0.2524059082594685,"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."}}