{"id":"W2613249740","doi":"","title":"Simulations of GRETINA: Photopeak Efficiencies","year":2016,"lang":"en","type":"article","venue":"Digital Commons - Ursinus (Ursinus College)","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007722567,0.0002991022,0.000392114,0.0002485042,0.0001436626,0.00007608455,0.0003437289,0.00009553599,0.00008439885],"category_scores_gemma":[0.0001057368,0.000247867,0.0001667585,0.0006416449,0.0003777094,0.0004519717,0.00006078807,0.0001285158,0.0001009829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001800309,"about_ca_system_score_gemma":0.00005433026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001407868,"about_ca_topic_score_gemma":0.00003808298,"domain_scores_codex":[0.9984274,0.00002559255,0.0004448025,0.0002718006,0.0003205923,0.0005097984],"domain_scores_gemma":[0.998695,0.0003823694,0.00006747623,0.0005599773,0.0001312083,0.0001640357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001077481,0.00457846,0.07051457,0.000998148,0.001517994,0.0005892403,0.009026931,0.0648099,0.18106,0.06011241,0.3153397,0.2903751],"study_design_scores_gemma":[0.01779088,0.002210828,0.0990335,0.004152756,0.0006435529,0.001186729,0.004648136,0.1116713,0.1496323,0.01286459,0.5872223,0.00894319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9136065,0.0002914807,0.0007691729,0.0004497737,0.0005338875,0.0002895971,0.001306691,0.0005403669,0.08221257],"genre_scores_gemma":[0.9979784,0.000004453361,0.0001298014,0.00002014395,0.00006306692,0.000006782413,0.00001987081,0.0000658306,0.001711623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2814319,"threshold_uncertainty_score":0.9999974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00914579292124043,"score_gpt":0.2017833157983724,"score_spread":0.192637522877132,"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."}}