{"id":"W4252616020","doi":"10.1111/imig.12199","title":"Editorial","year":2015,"lang":"es","type":"editorial","venue":"International Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Witness; Per capita; Work (physics); Development economics; Action (physics); Business; Economics; Economic growth; Political science; Economic policy; Population; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001515139,0.0004140991,0.0003669422,0.0003040195,0.0003196326,0.0009186999,0.0009906304,0.001532589,0.0008148208],"category_scores_gemma":[0.003643518,0.0004371,0.0002317773,0.0003777813,0.000220411,0.0007661737,0.0001036026,0.0008228556,0.001357416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259444,"about_ca_system_score_gemma":0.001929059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004032984,"about_ca_topic_score_gemma":0.03667437,"domain_scores_codex":[0.9934473,0.0003480353,0.0007442124,0.0006188101,0.004470671,0.0003709909],"domain_scores_gemma":[0.9942651,0.0004082604,0.0006709498,0.0003069385,0.004063479,0.0002852354],"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":[0.000131007,0.0001401288,0.00006847495,0.00001022007,0.0001005316,0.000001847611,0.007184238,0.0001099074,0.0000384357,0.009648946,0.9811569,0.001409317],"study_design_scores_gemma":[0.0008130114,0.00009743532,0.00001152809,0.00008371747,0.00006127227,3.704149e-7,0.001253976,0.002047801,0.000005555434,0.001829633,0.9933528,0.0004428481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0007091763,0.0000569291,0.0002162845,0.00484966,0.9530953,0.0003510751,0.0006974207,0.0001417714,0.03988244],"genre_scores_gemma":[0.002310523,0.002183764,0.0001229187,0.00009966728,0.9558725,0.00005240454,0.004218923,0.00004635363,0.03509294],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03264139,"threshold_uncertainty_score":0.9998081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162826066315113,"score_gpt":0.326569756667363,"score_spread":0.3149414960042118,"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."}}