{"id":"W4323789553","doi":"10.33137/ic.v30i.39480","title":"Mentors and Censors","year":2022,"lang":"en","type":"article","venue":"Italian Canadiana","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002573556,0.00005698864,0.00008087573,0.00004495005,0.001498815,0.00003028432,0.0001461696,0.00002037387,0.001635407],"category_scores_gemma":[0.00003117142,0.00007142997,0.00004041104,0.0002473575,0.000373058,0.00008075662,0.00001993623,0.0000913514,0.00001469706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007606749,"about_ca_system_score_gemma":0.0003773232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1983717,"about_ca_topic_score_gemma":0.09394328,"domain_scores_codex":[0.9991211,0.0001076339,0.0000704011,0.0001621147,0.0002485812,0.0002902074],"domain_scores_gemma":[0.9994863,0.00002430935,0.00003672614,0.00009948296,0.00001299957,0.0003402358],"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":[0.00000265385,0.0000170037,0.006720261,0.000003937284,0.00002746675,0.00004647474,0.07567506,0.00001085581,0.00003092099,0.03247613,0.876527,0.008462235],"study_design_scores_gemma":[0.00005423024,0.00001614817,0.001358569,7.343808e-7,0.000005226452,9.098624e-7,0.0521008,0.000004893485,8.720354e-7,0.0001278957,0.9462354,0.00009430415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4987763,0.00190771,0.000002598305,0.01491266,0.001318469,0.0002613789,0.0001578881,0.00009139881,0.4825715],"genre_scores_gemma":[0.9551037,0.00003670099,0.00004532883,0.002411737,0.0001388644,0.00001643749,0.00000402687,0.000009946386,0.04223327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4563273,"threshold_uncertainty_score":0.9998011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037507283029018,"score_gpt":0.2481662468420975,"score_spread":0.2377911740118073,"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."}}