{"id":"W4312683083","doi":"10.51952/9781447340201.fm001","title":"Front Matter","year":2019,"lang":"en","type":"paratext","venue":"Policy Press eBooks","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front (military); Physics; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004678369,0.00102982,0.000770345,0.001337656,0.002456199,0.00906109,0.001016519,0.004539022,0.9086698],"category_scores_gemma":[0.002319615,0.0003433719,0.0004525914,0.00137955,0.001366714,0.003719598,0.002967081,0.002121493,0.8622214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147041,"about_ca_system_score_gemma":0.001608729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002023953,"about_ca_topic_score_gemma":0.003537328,"domain_scores_codex":[0.9993101,0.00006215955,0.00003653168,0.0002163747,0.0002730353,0.0001017477],"domain_scores_gemma":[0.9990543,0.0001812599,0.00005375981,0.000140371,0.00027298,0.0002974044],"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":[0.00004447223,0.0000454734,0.0004716962,0.0002895184,0.000004633286,0.0001904464,0.0002368253,0.00006422716,0.0006760142,0.01443471,0.7889477,0.1945943],"study_design_scores_gemma":[0.000002421375,0.000005138503,0.0002232618,0.00009782494,6.796113e-7,0.00007713721,0.000115421,0.00002473867,0.00006381411,0.0007271334,0.9986603,0.000002053693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003644262,0.0008881154,0.0002679411,0.002145662,0.001596679,0.00002786714,0.0006707031,0.0003685993,0.99367],"genre_scores_gemma":[0.00124488,0.0006288682,0.0001457464,0.000685585,0.0002272937,0.00001445387,0.0003153202,0.0001192123,0.9966186],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09133017,"threshold_uncertainty_score":0.1302713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03442991934201846,"score_gpt":0.3454190859145299,"score_spread":0.3109891665725114,"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."}}