{"id":"W4244192418","doi":"10.1093/obo/9780199756384-0128","title":"Migration","year":2015,"lang":"en","type":"dataset","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Geography; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0006753165,0.00193515,0.001111927,0.003914332,0.0007130899,0.002048568,0.001916917,0.001759846,0.05704561],"category_scores_gemma":[0.004939858,0.0005393969,0.001581546,0.005942275,0.0003626162,0.001047424,0.001532786,0.001341072,0.05834632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008963553,"about_ca_system_score_gemma":0.002271876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03754046,"about_ca_topic_score_gemma":0.06944103,"domain_scores_codex":[0.9992282,0.0001282525,0.0001064988,0.0002482437,0.0001491624,0.0001395937],"domain_scores_gemma":[0.9986516,0.0002544665,0.0002051966,0.0003546951,0.0003343939,0.0001997014],"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":[0.00008037125,0.00002710695,0.002928246,0.0004238134,0.00005480007,0.00002592438,0.00002730353,0.0004829837,0.0000838363,0.0004564594,0.9918216,0.003587576],"study_design_scores_gemma":[0.0003315822,0.00003239643,0.01532936,0.0004277108,0.00007438225,0.0001118255,0.0001429883,0.0009932129,0.000281437,0.001247936,0.9809886,0.00003861901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005942702,0.0001275453,0.00006913611,0.00006731293,0.00005212013,0.00001052032,0.9980013,0.0002125146,0.0008653048],"genre_scores_gemma":[0.00109058,0.00009359918,0.0001953783,0.00005282396,0.00001423859,0.00004543702,0.9969505,0.00004594194,0.00151149],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05704561,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02873909150691253,"score_gpt":0.3395697087722624,"score_spread":0.3108306172653499,"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."}}