{"id":"W4398135746","doi":"10.36948/ijfmr.2024.v06i03.20194","title":"Brain Drain Or Brain Gain -Understanding Overseas Migration of Students from Kerala","year":2024,"lang":"en","type":"article","venue":"International Journal For Multidisciplinary Research","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brain drain; Neuroscience; Psychology; Political science; Development economics; Economics","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":[0.005474322,0.0001221925,0.0001589486,0.000621203,0.0008112536,0.0009065386,0.0008577065,0.0001302783,0.0007785762],"category_scores_gemma":[0.001807021,0.0001020226,0.0001839559,0.0004904392,0.0002963986,0.0006600122,0.0001824836,0.0005023846,0.00001999929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135115,"about_ca_system_score_gemma":0.0008252304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001001119,"about_ca_topic_score_gemma":0.02066965,"domain_scores_codex":[0.9957353,0.0006339644,0.0004752104,0.0002918608,0.002475801,0.0003878362],"domain_scores_gemma":[0.9955828,0.003192069,0.0001108001,0.0001166261,0.0007832436,0.0002144526],"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":[0.003629044,0.000871629,0.01431024,0.00009835845,0.001080827,0.0006471067,0.2286325,0.001530483,0.01609997,0.3984544,0.3258383,0.008807228],"study_design_scores_gemma":[0.00344202,0.000876452,0.003640922,0.001381452,0.00004159104,0.0000488855,0.1792002,0.2094722,0.0003910358,0.1834493,0.4174675,0.0005883572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8211126,0.0003504921,0.04551413,0.1246901,0.003981993,0.000949748,0.0006194789,0.00008874807,0.002692709],"genre_scores_gemma":[0.9726712,0.0004054537,0.00102799,0.0001629609,0.001499006,0.00003185217,0.0001241889,0.00002920986,0.0240482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.215005,"threshold_uncertainty_score":0.9972005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2101016123694902,"score_gpt":0.5410644636466294,"score_spread":0.3309628512771392,"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."}}