{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01256881,0.0006105225,0.001092243,0.001064636,0.007951283,0.01112046,0.001350411,0.005917865,0.01684691],"category_scores_gemma":[0.00688877,0.0003303265,0.0004844174,0.001007976,0.02054675,0.02358062,0.01072646,0.006170629,0.002377453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002699988,"about_ca_system_score_gemma":0.007912096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002240033,"about_ca_topic_score_gemma":0.005787376,"domain_scores_codex":[0.9952389,0.002146654,0.00009475212,0.0004914637,0.000621109,0.001407042],"domain_scores_gemma":[0.9918295,0.002540244,0.0005750593,0.0004644031,0.0007417956,0.003848978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003149952,0.0002289064,0.004753508,0.001176262,0.00007425246,0.001506799,0.0350799,0.0001738875,0.001319281,0.4746325,0.1209343,0.3598054],"study_design_scores_gemma":[0.00002670369,0.0001399472,0.002982323,0.00154818,0.00003349578,0.000967328,0.1185696,0.0001635957,0.0004183558,0.2778286,0.5972659,0.00005597475],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02553518,0.09311053,0.00203204,0.8163159,0.005735672,0.00002440728,0.00007143416,0.00005040906,0.05712436],"genre_scores_gemma":[0.6968182,0.1303883,0.004616822,0.110236,0.01160411,0.0001286436,0.0000939474,0.0001069363,0.0460071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01684691,"threshold_uncertainty_score":0.06647098,"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."}}