{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010835,0.0008478481,0.0008746006,0.0006268608,0.0006991252,0.001210275,0.002376641,0.001252203,0.1966717],"category_scores_gemma":[0.004228695,0.0006374661,0.0008832659,0.0007745406,0.0005042112,0.001586217,0.002513629,0.002082085,0.06615947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007493129,"about_ca_system_score_gemma":0.001544381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003884573,"about_ca_topic_score_gemma":0.004200784,"domain_scores_codex":[0.9992472,0.00007986516,0.00002628795,0.00007859548,0.0005096378,0.00005849393],"domain_scores_gemma":[0.9988611,0.0003557022,0.00004754243,0.0001904372,0.0004381575,0.0001070681],"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":[0.0005173535,0.0001073571,0.002003508,0.0005650783,0.00008749937,0.0002325187,0.0001988561,0.04576198,0.009994191,0.02792368,0.8219478,0.09066028],"study_design_scores_gemma":[0.0003321066,0.0001155914,0.001290396,0.0001394663,0.00005004802,0.0003267334,0.00006232836,0.2096348,0.02354623,0.0125515,0.7518266,0.0001242628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.008146055,0.0004075533,0.5100064,0.001357255,0.0007876527,0.0004099766,0.03756469,0.1847765,0.2565439],"genre_scores_gemma":[0.1941394,0.001128563,0.3088979,0.001601982,0.0003976003,0.00195636,0.1227366,0.1464255,0.2227161],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1966717,"threshold_uncertainty_score":0.6579323,"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."}}