{"id":"W6983673196","doi":"","title":"New and old Minorities: Foes or Allies? Opportunities, Challenges and Synergies","year":2016,"lang":"en","type":"article","venue":"View","topic":"Botanical Research and Chemistry","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Salient; Diversity (politics); Cohesion (chemistry); Ethnically diverse; Government (linguistics)","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":[0.00008063598,0.00008454097,0.0001189738,0.000002143198,0.00005933507,0.00003773512,0.0001003911,0.00005511564,0.0006912462],"category_scores_gemma":[0.00009233499,0.00002096201,0.00002017831,0.0000253311,0.00009735417,0.00008999624,0.00008979315,0.0000372975,0.000006135855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005475184,"about_ca_system_score_gemma":0.0000109104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006514334,"about_ca_topic_score_gemma":0.0004398882,"domain_scores_codex":[0.9994097,0.00001961161,0.00008734193,0.0001714883,0.0001150638,0.0001967473],"domain_scores_gemma":[0.9993584,0.0003421821,0.00001966417,0.0000370825,0.00001863894,0.0002241002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001423399,0.000007234812,0.00007191954,0.00004100148,0.00000734845,0.000007974591,0.0000214456,1.789686e-10,0.0162862,0.001712226,0.001429838,0.9804006],"study_design_scores_gemma":[0.0002125114,0.0003752417,0.01297255,0.000338358,0.000009377762,0.00002541483,0.001080653,2.94387e-7,0.003099905,0.004917181,0.9767509,0.0002176425],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8600365,0.1078304,9.446394e-7,0.0255514,0.00003299645,0.00009659229,0.00003841409,0.00006278561,0.006350036],"genre_scores_gemma":[0.544691,0.427281,0.00005562326,0.0003044248,0.0002597244,0.00001117379,0.000002863644,9.758636e-7,0.02739319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9801829,"threshold_uncertainty_score":0.7568662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.118092867850448,"score_gpt":0.2628574216713886,"score_spread":0.1447645538209406,"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."}}