{"id":"W6947961345","doi":"10.48550/arxiv.astro-ph/0703183","title":"The XENON10 WIMP Search Experiment at the Gran Sasso Underground Laboratory","year":2007,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xenon Pharmaceuticals (Canada)","funders":"","keywords":"WIMP; Calibration; Time projection chamber; Dark matter; Detector; Fiducial marker; Xenon","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":[0.0007812875,0.0006962774,0.0004875842,0.0007651151,0.0007066514,0.0005456065,0.0006162164,0.0003683316,0.003237551],"category_scores_gemma":[0.0004406063,0.0003018999,0.0002669995,0.001092999,0.0004455884,0.0004809567,0.0008538052,0.0007534027,0.0009294062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392058,"about_ca_system_score_gemma":0.001484947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02755171,"about_ca_topic_score_gemma":0.05192214,"domain_scores_codex":[0.9994438,0.00009808943,0.00001005079,0.0001382585,0.0001963718,0.0001134318],"domain_scores_gemma":[0.9994985,0.00007324546,0.00007217257,0.00009736818,0.0001473038,0.0001114698],"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":[0.01590693,0.001411344,0.1540413,0.0005007362,0.0008423512,0.00524048,0.00123263,0.02790747,0.4560436,0.02085938,0.1204614,0.1955524],"study_design_scores_gemma":[0.003858584,0.002919759,0.2523174,0.0002213618,0.0003927455,0.001680921,0.0008384433,0.0710388,0.2740647,0.01033974,0.381846,0.0004816388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.924704,0.001033129,0.01783643,0.001256751,0.0001765747,0.0002115423,0.01557594,0.003845853,0.03535974],"genre_scores_gemma":[0.9235544,0.0005805255,0.03184003,0.0002365997,0.00007526617,0.0001368386,0.02574666,0.0008022544,0.01702727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02755171,"threshold_uncertainty_score":0.05478269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04326308507699229,"score_gpt":0.188672013353041,"score_spread":0.1454089282760488,"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."}}