{"id":"W6966190257","doi":"10.48328/tudatalib-1430","title":"Throughput Cleaning Machine YUKON DAD-2 BL","year":2024,"lang":"en","type":"article","venue":"TUdatalib","topic":"Scientific and Engineering Research Topics","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Projektträger Jülich","keywords":"Throughput; Identification (biology); Pipeline (software); Production (economics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003257166,0.0001070559,0.0001029361,0.00008578233,0.00008032432,0.0003404993,0.0003036965,0.00005107462,0.001382023],"category_scores_gemma":[0.00008816993,0.0000927794,0.00006039745,0.0003252494,0.0000479487,0.0002663932,0.0001912548,0.0002549507,0.00400355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003982553,"about_ca_system_score_gemma":0.00002679963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001068374,"about_ca_topic_score_gemma":0.00002548637,"domain_scores_codex":[0.9988694,0.00001821765,0.0001444432,0.0003189963,0.0003466408,0.0003022577],"domain_scores_gemma":[0.9993961,0.00006180622,0.000009996787,0.0004248874,0.00001847475,0.00008870487],"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":[0.00002751207,0.0001026282,0.002128418,0.0007549133,0.0002423423,0.002685538,0.001020042,0.0005441998,0.00888972,0.08956826,0.794966,0.09907043],"study_design_scores_gemma":[0.0001980274,0.00002555167,0.002922686,0.0001150222,0.00002171557,0.0001245683,0.0001058298,0.04379872,0.002495896,0.0008413336,0.949111,0.000239641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7124744,0.01274922,0.05779681,0.001430801,0.0201507,0.0006041901,0.001039622,0.004154342,0.1895999],"genre_scores_gemma":[0.9373334,0.00003958674,0.0008404365,0.00005107902,0.0005031337,0.000007949551,0.0002586397,0.00004118651,0.06092456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.224859,"threshold_uncertainty_score":0.9995309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03232344139495463,"score_gpt":0.3231052879375256,"score_spread":0.2907818465425709,"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."}}