{"id":"W6925093237","doi":"10.17605/osf.io/t649y","title":"Biased Historical Narratives (Study 2)","year":2021,"lang":"en","type":"other","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Narrative; Context (archaeology); Narrative history","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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002354211,0.0005660001,0.0009602671,0.0007933757,0.0005938249,0.001715299,0.008997755,0.0004702554,0.04336571],"category_scores_gemma":[0.002909184,0.0005042176,0.0001138765,0.006878295,0.001072616,0.0003530016,0.002982658,0.001140323,0.005819114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001793398,"about_ca_system_score_gemma":0.002057957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002054769,"about_ca_topic_score_gemma":0.0007862194,"domain_scores_codex":[0.9938956,0.0003869585,0.000414712,0.002241161,0.00217201,0.0008894977],"domain_scores_gemma":[0.9955493,0.0001693862,0.000519767,0.003086097,0.0001993092,0.0004761098],"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":[0.0000167575,0.0009345816,0.001891231,0.00001029244,0.00004342702,0.0001584679,0.003577415,0.000001511438,0.0004307065,0.001799206,0.9903484,0.0007880148],"study_design_scores_gemma":[0.0002817441,0.0001693649,0.0008130514,0.000794012,0.00002334359,0.000006314165,0.002857579,0.00000478924,0.00003310655,0.001003627,0.9932637,0.0007494068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004551945,0.001198206,0.0003704198,0.0004077355,0.003472893,0.002295689,0.00003599434,0.0002779569,0.9914859],"genre_scores_gemma":[0.005036547,0.000009190853,0.05026563,0.0002759933,0.0006867485,0.0002458431,0.00001418548,0.0009871528,0.9424787],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04989521,"threshold_uncertainty_score":0.999741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07723647915823001,"score_gpt":0.3927856678194854,"score_spread":0.3155491886612554,"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."}}