{"id":"W7030223394","doi":"","title":"Mittelfristprojektion im Herbst 2023: Wachstum im Sinkflug, Expansionsspielräume nicht allzu hoch","year":2023,"lang":"de","type":"article","venue":"Econstor (Econstor)","topic":"War, Ethics, and Justification","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mitel (Canada)","funders":"","keywords":"West germany; Lung disease","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":["sts","insufficient_payload"],"category_scores_codex":[0.002157266,0.001188542,0.001307132,0.001093772,0.003558889,0.001010978,0.001001465,0.001084587,0.01247031],"category_scores_gemma":[0.0005624878,0.001298018,0.0008565438,0.0005517493,0.002731015,0.001114957,0.0003491431,0.001838941,0.04270894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006582273,"about_ca_system_score_gemma":0.001074561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00125111,"about_ca_topic_score_gemma":0.002425772,"domain_scores_codex":[0.9926479,0.0005440153,0.002173856,0.001911374,0.0009545288,0.001768317],"domain_scores_gemma":[0.9947878,0.0009768946,0.001045159,0.001824531,0.0007142807,0.0006513181],"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":[0.000386193,0.001069878,0.03549664,0.001118196,0.001351806,0.0002612453,0.05674656,0.00007130612,0.001712048,0.07272421,0.8259366,0.003125303],"study_design_scores_gemma":[0.001904178,0.0005464557,0.01453043,0.0006978847,0.0008909954,0.00004664937,0.02462271,0.0009250673,0.0005250308,0.001900108,0.9511012,0.002309266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8667811,0.01873619,0.00006852863,0.007324267,0.03575671,0.001695411,0.00134018,0.001332732,0.06696486],"genre_scores_gemma":[0.8560206,0.004466455,0.0001537573,0.0015666,0.01247524,0.0003595757,0.001667056,0.000341539,0.1229492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1251646,"threshold_uncertainty_score":0.999983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04303906560688833,"score_gpt":0.2609783190351631,"score_spread":0.2179392534282747,"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."}}