{"id":"W2317667328","doi":"10.1142/9789812701565_0028","title":"MEASUREMENT OF KAONIC HYDROGEN WITH DEAR AT DAΦNE AND FUTURE PERSPECTIVES","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Art","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":[0.002715913,0.0009267644,0.0008073047,0.0009006796,0.001191437,0.002099087,0.001379528,0.001520142,0.00381964],"category_scores_gemma":[0.0008080712,0.0004830348,0.0004039076,0.001007459,0.001164192,0.003688189,0.001005132,0.001287283,0.00110724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115297,"about_ca_system_score_gemma":0.0006426392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002719566,"about_ca_topic_score_gemma":0.006894857,"domain_scores_codex":[0.9991869,0.0001998841,0.00002573879,0.0001781929,0.0002479221,0.000161431],"domain_scores_gemma":[0.9993274,0.0001657889,0.00005352483,0.0001066871,0.0002687006,0.00007790179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007226212,0.001007488,0.1132998,0.0008720711,0.0004601456,0.001151786,0.001096783,0.00533851,0.7364641,0.03184759,0.007135652,0.09409995],"study_design_scores_gemma":[0.0004053471,0.00170969,0.09989803,0.000139924,0.0003091097,0.001330274,0.001800431,0.01409754,0.753337,0.01040031,0.1163112,0.0002610774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.74739,0.01744445,0.06208438,0.01051894,0.0009988333,0.0003734769,0.004284428,0.00156593,0.1553394],"genre_scores_gemma":[0.9658785,0.002069952,0.01746087,0.000781315,0.0001878005,0.0000888109,0.001012847,0.0001139463,0.01240596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00381964,"threshold_uncertainty_score":0.01436329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005786124307396026,"score_gpt":0.1848924290648502,"score_spread":0.1791063047574542,"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."}}