{"id":"W4387339543","doi":"10.1002/citp.202371017","title":"Produkte von Alfa Laval, Beko, Harter und Thielmann","year":2023,"lang":"de","type":"article","venue":"CITplus","topic":"Innovation, Technology, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001603484,0.0002600869,0.0003249476,0.0001867377,0.001338984,0.000190451,0.000655212,0.0007059332,0.0002706703],"category_scores_gemma":[0.0004428034,0.0002671754,0.0001842026,0.002812196,0.0009497855,0.00026614,0.0001869442,0.0005550667,0.004564182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001937449,"about_ca_system_score_gemma":0.0003562987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000740408,"about_ca_topic_score_gemma":0.0005695614,"domain_scores_codex":[0.9972996,0.0001567749,0.0004288285,0.0006187826,0.0005905807,0.000905466],"domain_scores_gemma":[0.9987084,0.0001271061,0.0001893117,0.0005597174,0.0003081579,0.0001073393],"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":[0.00001416043,0.0001170667,0.007025157,0.0001051528,0.0003269316,0.00004204509,0.07499883,0.00001056413,0.0004778329,0.1100325,0.7945738,0.01227588],"study_design_scores_gemma":[0.000396174,0.00008574247,0.008102864,0.00005174574,0.0001087204,6.168743e-7,0.01087634,0.0002670106,0.0004654802,0.0175664,0.9616578,0.0004211156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7273664,0.007966453,0.0001835668,0.1346527,0.02282398,0.002264222,0.0001761924,0.004254312,0.1003122],"genre_scores_gemma":[0.8818467,0.006647267,0.0002125694,0.002475203,0.004648969,0.00008954335,0.0001281826,0.00008688018,0.1038648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1670839,"threshold_uncertainty_score":0.9999781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095835496223466,"score_gpt":0.3166240155580296,"score_spread":0.285665660595795,"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."}}