{"id":"W58455817","doi":"10.18574/nyu/9780814770733.001.0001","title":"Global Mixed Race","year":2016,"lang":"en","type":"book","venue":"New York University Press eBooks","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Race (biology); Sociology; Gender studies","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":[],"consensus_categories":[],"category_scores_codex":[0.0007333492,0.000898884,0.0004388727,0.001312273,0.003830847,0.006336756,0.0006878806,0.001726887,0.04466642],"category_scores_gemma":[0.001108039,0.0002258744,0.0005059536,0.00138304,0.003735683,0.006197106,0.004652404,0.003139014,0.01179036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002412773,"about_ca_system_score_gemma":0.002139258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003469966,"about_ca_topic_score_gemma":0.008971652,"domain_scores_codex":[0.9993985,0.000179539,0.0000210241,0.0001176405,0.0001755623,0.000107738],"domain_scores_gemma":[0.9996886,0.00008173464,0.00002036826,0.00006597519,0.00007686632,0.0000664055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001970387,0.00001602506,0.0002744817,0.0001907753,0.000005638717,0.000132121,0.007719744,0.00007379113,0.0002426545,0.4723786,0.4251216,0.09382494],"study_design_scores_gemma":[8.309156e-7,0.000004126943,0.0001242501,0.00008725836,0.000001441629,0.00009484405,0.0006793176,0.00001459856,0.00003906427,0.009753367,0.9891989,0.000001974525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001460598,0.02151322,0.001184477,0.008954285,0.007860241,0.00003452423,0.0001005006,0.0001006518,0.9587916],"genre_scores_gemma":[0.02369246,0.01556836,0.001270982,0.009777877,0.002235428,0.0000841769,0.0001884618,0.0002636793,0.9469186],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04466642,"threshold_uncertainty_score":0.1494241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03345535409029994,"score_gpt":0.2417946330899395,"score_spread":0.2083392789996395,"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."}}