{"id":"W2020147586","doi":"10.1007/s11125-006-9010-x","title":"Education Inequality In Slovakia: The Effects Of Early Selection","year":2006,"lang":"en","type":"article","venue":"Prospects","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Selection (genetic algorithm); Inequality; Political science; Economic growth; Development economics; Demographic economics; Economics; 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":[0.001191788,0.0002094353,0.0004382874,0.002230299,0.001113812,0.001950233,0.0004409466,0.0005135953,0.005652775],"category_scores_gemma":[0.002304715,0.0001908879,0.0005435593,0.002473801,0.0009112356,0.001012019,0.002110181,0.0007738235,0.0003899215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002926257,"about_ca_system_score_gemma":0.002524716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1181503,"about_ca_topic_score_gemma":0.1620067,"domain_scores_codex":[0.9990532,0.0002016148,0.00005072809,0.000102185,0.00007921874,0.0005131375],"domain_scores_gemma":[0.9984344,0.0003846791,0.0003560612,0.0001314529,0.0002461533,0.0004472423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000835319,0.0001702281,0.9481601,0.0001304754,0.0002119044,0.0008718587,0.003111025,0.001190467,0.0004108466,0.01281806,0.001533728,0.03055607],"study_design_scores_gemma":[0.00000755809,0.0000238047,0.997329,0.00003213317,0.00002642852,0.00006124871,0.0006705209,0.0001071692,0.00005628264,0.0002895744,0.001391581,0.000004646747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909168,0.002755397,0.00008607804,0.0008342488,0.00001803657,0.000005163978,0.000637395,0.00000458453,0.004742185],"genre_scores_gemma":[0.9979511,0.0006567214,0.00002262647,0.00003488328,0.00001040834,0.000003544179,0.0002857295,0.000003132671,0.001031852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1181503,"threshold_uncertainty_score":0.2349251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586988547113797,"score_gpt":0.3258285056933732,"score_spread":0.3099586202222352,"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."}}