{"id":"W1533807810","doi":"10.24452/sjer.28.3.4731","title":"PISA-Ergebnisse für verschiedene AkteurInnen im Bildungswesen: Wege zu einem hohen Leistungsniveau bei gleichzeitig geringer Ungleichheit der Bildungschancen","year":2006,"lang":"de","type":"article","venue":"Swiss Journal of Educational Research","topic":"Education Methods and Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Medicine","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":[0.005522109,0.0005283925,0.0007784772,0.002805819,0.002146189,0.005282534,0.0007208823,0.0009762555,0.06911968],"category_scores_gemma":[0.01564416,0.0002465424,0.0009209733,0.005444651,0.001780035,0.003555775,0.004999672,0.001897229,0.009984192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003116884,"about_ca_system_score_gemma":0.003447056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01743739,"about_ca_topic_score_gemma":0.01370266,"domain_scores_codex":[0.9975184,0.0007730441,0.0001190796,0.0002631155,0.0008818086,0.0004444915],"domain_scores_gemma":[0.9882932,0.005934179,0.0009766705,0.001147667,0.002289801,0.001358464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.009255137,0.001746478,0.3138945,0.002929437,0.0007606823,0.001162192,0.0178526,0.008461139,0.001853352,0.06596819,0.1089395,0.4671768],"study_design_scores_gemma":[0.0002810404,0.001124174,0.8063709,0.0007624439,0.0006841475,0.0003062231,0.03552161,0.002218971,0.006010281,0.03493436,0.1116602,0.0001257287],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6210163,0.006607162,0.00374811,0.01059023,0.00031036,0.0002722221,0.01595669,0.0004926809,0.3410063],"genre_scores_gemma":[0.952006,0.001804787,0.00126493,0.0007106634,0.00005863325,0.0003183052,0.005193759,0.0001332877,0.03850949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06911968,"threshold_uncertainty_score":0.2312284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011415776928914,"score_gpt":0.468975833434113,"score_spread":0.3678342557412216,"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."}}