{"id":"W2107317559","doi":"10.25336/p63032","title":"Migrations: Interdisciplinary Perspectives","year":2014,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Sociology; Regional science; Geography; Economic geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003431394,0.00005186645,0.00008192434,0.0001914012,0.0004661651,0.0000235986,0.00006621069,0.00004473546,0.00004654517],"category_scores_gemma":[0.0004794382,0.0000547093,0.00002034373,0.0002931068,0.0001205602,0.0001408601,0.00001531354,0.0000566751,0.00001351697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006785083,"about_ca_system_score_gemma":0.00007295683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.117624,"about_ca_topic_score_gemma":0.9946208,"domain_scores_codex":[0.9993697,0.0001270278,0.0001238956,0.0001219165,0.00009305109,0.0001643991],"domain_scores_gemma":[0.9996586,0.00005431808,0.00003166562,0.00007953675,0.00008650284,0.00008941561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000002383134,0.000009988509,0.07487378,0.000005797504,0.00001185952,0.000001470683,0.359951,0.0002699564,0.000001138855,0.5523998,0.005511654,0.006961257],"study_design_scores_gemma":[0.0002298858,0.00002773951,0.2424258,0.00006503189,0.0000109575,5.345551e-7,0.6359665,0.004315073,4.066231e-7,0.03950474,0.07718252,0.0002707323],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9396402,0.001214968,0.00015421,0.009869332,0.0007298196,0.0002656358,0.000008083686,0.00005496935,0.04806276],"genre_scores_gemma":[0.9981055,0.000138288,0.0001598153,0.0001703442,0.0001626419,0.00001536663,0.0000144641,0.00000423087,0.001229365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8769969,"threshold_uncertainty_score":0.8882518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03592386164127905,"score_gpt":0.378627500946752,"score_spread":0.342703639305473,"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."}}