{"id":"W261020517","doi":"10.29173/iasl7731","title":"High standards or a high standard of standardness?","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Diverse Education Studies and Reforms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audit; Public relations; Schema (genetic algorithms); Professional standards; Service (business); Business; Argument (complex analysis); Work (physics); Political science; Accounting; Marketing; Engineering; Engineering ethics; Computer science; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008831748,0.0001753472,0.0004497097,0.0000774954,0.0005634507,0.0002282831,0.0002953967,0.0001324969,0.003223208],"category_scores_gemma":[0.001030312,0.0001257945,0.00008449097,0.0006635581,0.0005681064,0.0005673087,0.0001595637,0.0001648108,0.00001387152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002525313,"about_ca_system_score_gemma":0.00336251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099996,"about_ca_topic_score_gemma":0.0006441764,"domain_scores_codex":[0.9974422,0.00002495377,0.0003575539,0.0003512507,0.001384392,0.0004396135],"domain_scores_gemma":[0.9916469,0.00004854069,0.0002216616,0.0001014066,0.007785938,0.0001954898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007662081,0.0001965612,0.004400545,0.0002077591,0.0001736654,0.00002248808,0.6133952,8.238621e-7,0.00008231132,0.2943855,0.06299706,0.02337194],"study_design_scores_gemma":[0.0005755731,0.0002506785,0.001065024,0.0001254099,0.00003397742,0.000002362816,0.6013054,5.798772e-7,0.001673141,0.005199607,0.3895477,0.0002205545],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615656,0.000157962,0.0002618099,0.007404803,0.001407723,0.0002761929,0.001316311,0.0001232063,0.02748639],"genre_scores_gemma":[0.9859416,0.0007921722,0.0008936498,0.0001604143,0.0003013567,0.00001939115,0.000008586731,0.00001278318,0.01187001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3265506,"threshold_uncertainty_score":0.997688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0306619141369267,"score_gpt":0.3321261448139955,"score_spread":0.3014642306770688,"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."}}