{"id":"W10275323","doi":"","title":"SNM Detection with a Large Water Cerenkov Detector","year":2009,"lang":"en","type":"article","venue":"Canadian journal of medical technology","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Detector; Physics; Neutron detection; Neutron; Photocathode; Electromagnetic shielding; Nuclear physics; Optics; Photon; Shielded cable; Nuclear engineering; Electrical engineering; Electron; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001390737,0.00007664251,0.0001395762,0.0002004771,0.000118339,0.00002052014,0.0003491254,0.0000976334,0.001161052],"category_scores_gemma":[0.00001308134,0.00005079094,0.00004883671,0.0001877374,0.00008277922,0.00004428964,0.00001222528,0.0004337722,0.00003607695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003230884,"about_ca_system_score_gemma":0.0003051102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003064645,"about_ca_topic_score_gemma":0.0008301132,"domain_scores_codex":[0.9992731,0.000009819273,0.0001720401,0.00008621957,0.0001720263,0.0002868529],"domain_scores_gemma":[0.999294,0.000006846621,0.00006756309,0.0001540225,0.00009048323,0.0003871236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001774214,0.0001471931,0.00394537,0.00001018277,0.0001398508,0.0001346105,0.0001982363,0.000002849283,0.007587616,0.1300439,0.00315864,0.8546138],"study_design_scores_gemma":[0.00285461,0.001253207,0.002885819,0.0003075149,0.0000869771,0.0003445394,0.001014044,0.0003541406,0.08378565,0.2143718,0.6922392,0.0005024957],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9450811,0.0000721256,0.02671114,0.02511993,0.0001344357,0.0000888088,0.00001171253,0.00002332418,0.002757424],"genre_scores_gemma":[0.9992087,0.000001845192,0.0002038468,0.0002392693,0.0003029843,0.000002317255,0.000001940935,0.000008397723,0.00003070355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8541114,"threshold_uncertainty_score":0.999752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003582823460547716,"score_gpt":0.2115997228194066,"score_spread":0.2080168993588589,"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."}}