{"id":"W3100520664","doi":"10.5167/uzh-17826","title":"Low energy tracking and particles identification in the MUNU Time Projection Chamber at 1 bar: possible application in low energy solar neutrino spectroscopy","year":2008,"lang":"en","type":"article","venue":"Zurich Open Repository and Archive (University of Zurich)","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Time projection chamber; Tracking (education); Bar (unit); Electron; Physics; Energy (signal processing); Nuclear physics; Atomic physics; Electron neutrino; Spectroscopy; Neutrino; Neutrino oscillation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003197651,0.0001244053,0.0001902964,0.0001504229,0.0005014948,0.00007032379,0.0002839619,0.00003306401,0.00001133996],"category_scores_gemma":[7.732908e-7,0.0001281263,0.00004160697,0.0003392718,0.0001731547,0.0005369243,0.0002835375,0.0001441005,0.000004874963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004281084,"about_ca_system_score_gemma":0.00005307996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005028181,"about_ca_topic_score_gemma":0.0002318663,"domain_scores_codex":[0.998678,0.0003786588,0.0001709794,0.0003732361,0.0001791413,0.0002200072],"domain_scores_gemma":[0.9993241,0.0001641457,0.0001544782,0.0002565941,0.00004185119,0.00005876382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005140643,0.001302551,0.2696327,0.00007818671,0.00008195625,0.00008325718,0.008387883,0.0003778578,0.6787437,0.0272785,0.0005229044,0.01299651],"study_design_scores_gemma":[0.001981081,0.0001913407,0.5715451,0.00009972668,0.00003810006,0.00005011507,0.001760868,0.01233489,0.4067019,0.003814983,0.001059598,0.0004223216],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879904,0.00004027427,0.00544666,0.00009196584,0.0000154258,0.0003218024,0.00000986268,0.000009099521,0.006074462],"genre_scores_gemma":[0.9988995,0.00007773603,0.0001624632,0.000009672234,0.00004969561,0.00001009382,0.00003673544,0.00001005093,0.0007441156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3019124,"threshold_uncertainty_score":0.7601139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052091098738311,"score_gpt":0.2224250450141359,"score_spread":0.2119041340267528,"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."}}