{"id":"W6907958892","doi":"10.24433/co.bd5fa640-b966-4aed-858d-b0a7d9c4e598","title":"EMPOWER Point Source","year":2018,"lang":"en","type":"other","venue":"Code Ocean","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Monte Carlo method; Point (geometry); Point source; Key (lock); Data source","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001904208,0.0004131521,0.0003780461,0.0003193574,0.00004083212,0.00004972257,0.0005328658,0.0003943286,0.06396628],"category_scores_gemma":[0.00006869194,0.0003907152,0.0001382131,0.0001720233,0.0002400215,0.00002598649,0.0001706674,0.0002072018,0.3207627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009750463,"about_ca_system_score_gemma":0.00006449854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005253929,"about_ca_topic_score_gemma":0.0001720808,"domain_scores_codex":[0.9984174,0.00006434236,0.0001864376,0.0005492425,0.0003469615,0.0004355891],"domain_scores_gemma":[0.9983972,0.00001556708,0.000253821,0.001116906,0.00004611274,0.0001703484],"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":[0.00001109683,0.0000397043,0.0002291365,0.00002956285,0.00008042987,0.00001395691,0.0001200364,2.332517e-7,0.00002900635,0.00009430431,0.9992334,0.0001191311],"study_design_scores_gemma":[0.0003132627,0.00003596946,0.00002680408,0.0002205958,0.00005040906,0.00001212854,0.00002689701,0.00001855098,0.00005534675,0.00008655302,0.9986849,0.0004685279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009118079,0.0004324087,0.0001940509,0.00005221574,0.0006638001,0.0002705636,0.0003347484,0.001736629,0.9962244],"genre_scores_gemma":[0.0004783974,0.000008325849,0.0004991722,0.0002207585,0.00169164,0.000001972244,0.0001442075,0.004886606,0.9920689],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2567964,"threshold_uncertainty_score":0.9998544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345349726039457,"score_gpt":0.2604309535744782,"score_spread":0.2469774563140836,"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."}}