{"id":"W7135554764","doi":"","title":"MEGA Academy Wachstumsprogramm 2022 : Evaluation und Abschlussbericht","year":2022,"lang":"de","type":"report","venue":"WU Research","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Mega-; Work (physics); Standardization; Focus (optics)","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":[0.01681134,0.001159911,0.0007535176,0.002427473,0.002401627,0.005479147,0.002743121,0.003490109,0.1343596],"category_scores_gemma":[0.01504245,0.0008460524,0.0005439926,0.001930129,0.0007592812,0.001864175,0.003768449,0.002793408,0.0814736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004750452,"about_ca_system_score_gemma":0.04429401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03794049,"about_ca_topic_score_gemma":0.04703739,"domain_scores_codex":[0.9881742,0.002669733,0.0004083321,0.0003879565,0.006348812,0.002010983],"domain_scores_gemma":[0.9791899,0.002408614,0.000809142,0.0009714986,0.008880954,0.007739898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008785645,0.0004286529,0.00152768,0.000100296,0.000009191856,0.00003448536,0.00005503891,0.0001424303,0.0004959645,0.002079095,0.9632283,0.03102033],"study_design_scores_gemma":[0.0007035813,0.0008546658,0.02128628,0.0001859966,0.00003019546,0.00006803074,0.0004103994,0.0006720781,0.003435886,0.001063656,0.9712558,0.00003339061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03480254,0.004093304,0.007734525,0.06521875,0.009141182,0.01395244,0.2213571,0.003486573,0.6402135],"genre_scores_gemma":[0.03795422,0.001437642,0.009949086,0.00821589,0.0008936906,0.008768799,0.08216768,0.001227556,0.8493856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1343596,"threshold_uncertainty_score":0.4494775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4759242891771788,"score_gpt":0.5861031637916105,"score_spread":0.1101788746144317,"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."}}