{"id":"W2016475946","doi":"10.1016/j.nuclphysbps.2011.10.001","title":"The K2K calibration source manipulator","year":2011,"lang":"en","type":"article","venue":"Nuclear Physics B - Proceedings Supplements","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"TRIUMF","funders":"","keywords":"Physics; Calibration; Cherenkov detector; Manipulator (device); Detector; Cherenkov radiation; Optics; Nuclear physics; Robot; Quantum mechanics; Computer science; Artificial intelligence","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":[0.001060045,0.001389255,0.0008056544,0.001519479,0.001540804,0.002229366,0.002533393,0.001556519,0.08723319],"category_scores_gemma":[0.001516848,0.00101477,0.0005273849,0.00125466,0.0006935466,0.0022876,0.003379332,0.001426445,0.06209598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115323,"about_ca_system_score_gemma":0.002878252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001926381,"about_ca_topic_score_gemma":0.002405981,"domain_scores_codex":[0.9982603,0.0000995486,0.00008931584,0.0004514742,0.0009511953,0.0001480647],"domain_scores_gemma":[0.9986476,0.00009269891,0.0001228121,0.0003660328,0.0006817289,0.00008903093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001103132,0.0001400686,0.002426628,0.0007623212,0.00006641709,0.0004285522,0.0004735233,0.01176962,0.1403403,0.05299656,0.04827958,0.7412134],"study_design_scores_gemma":[0.000229588,0.0006099524,0.00621475,0.0002384052,0.00007716674,0.001886514,0.0002715145,0.05809217,0.1748142,0.008471105,0.748798,0.0002967563],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01542898,0.0005025608,0.8221609,0.0005641499,0.0005464461,0.0005055733,0.001914057,0.01580244,0.1425749],"genre_scores_gemma":[0.2388159,0.0005873039,0.5639022,0.0004053369,0.0001733545,0.0005991017,0.004599892,0.001924151,0.1889928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08723319,"threshold_uncertainty_score":0.2918241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02369932111997493,"score_gpt":0.2174757635331163,"score_spread":0.1937764424131414,"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."}}