{"id":"W4408555930","doi":"10.1055/s-0045-1804593","title":"Baseline Charakteristika aus dem EXCITING-ILD Register","year":2025,"lang":"de","type":"article","venue":"Pneumologie","topic":"Physics and Engineering Research Articles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Register (sociolinguistics); Baseline (sea); Medicine; Political science; Philosophy; Linguistics; Law","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":[0.004028579,0.0005761248,0.001217906,0.003169429,0.0008271447,0.003096269,0.001014787,0.001372637,0.01968572],"category_scores_gemma":[0.02423957,0.0004405214,0.001324098,0.003486702,0.0005974438,0.002734593,0.002931394,0.001638598,0.007040419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009431338,"about_ca_system_score_gemma":0.001479622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007721975,"about_ca_topic_score_gemma":0.006588739,"domain_scores_codex":[0.9936272,0.001212111,0.001135312,0.001619697,0.00117671,0.001228981],"domain_scores_gemma":[0.9881893,0.004073902,0.002733963,0.002042183,0.002267614,0.0006930532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009707293,0.0002968049,0.9245304,0.0007297872,0.001212528,0.0003389081,0.0003837081,0.001323612,0.001234902,0.001674459,0.02374544,0.03482221],"study_design_scores_gemma":[0.0002215254,0.0006059307,0.9798039,0.0001747992,0.0007327143,0.0007725452,0.0009286921,0.000905826,0.0008207262,0.002376447,0.01257885,0.00007805108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7831963,0.003381856,0.003024275,0.001193657,0.0002390574,0.0002203084,0.1906442,0.0006117632,0.01748868],"genre_scores_gemma":[0.9118922,0.0004567438,0.0004627555,0.0001994512,0.000120914,0.0002114994,0.08362674,0.00008614523,0.002943559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01968572,"threshold_uncertainty_score":0.06585526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107179780151297,"score_gpt":0.2701077732623035,"score_spread":0.2490359754607905,"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."}}