{"id":"W2333816329","doi":"10.1055/s-0030-1267813","title":"Fälle-für-Alle oder: „Man muss nicht jeden Fehler selber machen!”","year":2010,"lang":"de","type":"article","venue":"Hebamme","topic":"Public Administration and Political Analysis","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Political 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009189551,0.0003525509,0.0004669118,0.0001366696,0.001398826,0.0004532844,0.0007513177,0.0005847091,0.03722778],"category_scores_gemma":[0.0005162542,0.000326522,0.0004074138,0.0006814753,0.0007322723,0.0003461877,0.0002231506,0.0008126083,0.006755122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008389004,"about_ca_system_score_gemma":0.0006279032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002971641,"about_ca_topic_score_gemma":0.01146563,"domain_scores_codex":[0.996428,0.000291457,0.0005977502,0.0006386085,0.0008860077,0.001158206],"domain_scores_gemma":[0.9975992,0.0002543786,0.0001925686,0.0006044288,0.0002402143,0.00110919],"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":[0.00003713899,0.00101586,0.00497247,0.00004843453,0.000636328,0.00005250706,0.01661122,0.000002881937,0.0003726451,0.6475095,0.3226856,0.006055423],"study_design_scores_gemma":[0.0003828004,0.00006714033,0.001637927,0.000009974795,0.0002437799,0.000003249557,0.001429887,0.0006119648,0.0001122451,0.004577043,0.9904618,0.0004622102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1562983,0.0007622858,0.0001942135,0.1753131,0.005255332,0.0004639895,0.0001499274,0.0003190789,0.6612437],"genre_scores_gemma":[0.8280579,0.0001092901,0.0002565373,0.005544705,0.003465446,0.0000195746,0.00007714759,0.00003115844,0.1624382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6717597,"threshold_uncertainty_score":0.9999187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662032547130699,"score_gpt":0.3464065284507251,"score_spread":0.3197862029794181,"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."}}