{"id":"W6906271545","doi":"10.17605/osf.io/7wevm","title":"Allyship & Bias Simulation Study","year":2023,"lang":"en","type":"other","venue":"Open Science Framework","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Noise (video); Data collection; Term (time); Bayesian probability; Measure (data warehouse)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002227174,0.0002569161,0.0003780745,0.0003709792,0.0004994664,0.0008959793,0.002915375,0.0002484645,0.04341554],"category_scores_gemma":[0.002435655,0.0001897298,0.00005395186,0.00220301,0.0003752068,0.0003508504,0.0002293167,0.000396962,0.009945191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001187142,"about_ca_system_score_gemma":0.0001626656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004155711,"about_ca_topic_score_gemma":0.01504296,"domain_scores_codex":[0.9971655,0.0001783947,0.0003117727,0.0008886164,0.0009343492,0.0005213447],"domain_scores_gemma":[0.9972773,0.001168006,0.0002323026,0.0009922609,0.00005365038,0.0002764525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004433971,0.0002392856,0.6694888,0.00001392935,0.00006576494,0.00002870071,0.001072438,0.2284211,0.000001027634,0.001764336,0.03699757,0.06186263],"study_design_scores_gemma":[0.0002967783,0.0003450949,0.4668331,0.0001447,0.00004871687,6.43542e-7,0.0003084276,0.01410955,2.016117e-7,0.02548985,0.4916271,0.0007958447],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01113796,0.0001099441,0.001551,0.0001683831,0.001861158,0.002038648,0.0001054547,0.0005467611,0.9824807],"genre_scores_gemma":[0.6877897,0.00001636767,0.006277264,0.0003481033,0.0003862904,0.000009245116,0.00004574283,0.00009652334,0.3050308],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6774499,"threshold_uncertainty_score":0.9908257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1795747391302438,"score_gpt":0.3781974676490127,"score_spread":0.1986227285187689,"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."}}