{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01670843,0.0002364693,0.0004477058,0.001351159,0.001589201,0.005116629,0.0009741246,0.00204357,0.003820442],"category_scores_gemma":[0.05887562,0.0001614739,0.0002901423,0.001271573,0.02062281,0.007105502,0.004605205,0.00431168,0.0007930449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002461515,"about_ca_system_score_gemma":0.003552489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002824513,"about_ca_topic_score_gemma":0.001767326,"domain_scores_codex":[0.9804128,0.008218059,0.001387626,0.001868156,0.006384999,0.001728351],"domain_scores_gemma":[0.9572657,0.01671426,0.006411289,0.004554827,0.009122461,0.005931515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001315988,0.0002140712,0.03942018,0.0004155658,0.00007929986,0.0003577295,0.02767394,0.0003137933,0.001394588,0.7585908,0.02305519,0.1483533],"study_design_scores_gemma":[0.00006731512,0.0005679451,0.07691693,0.001044007,0.00005521455,0.001220796,0.053397,0.0006497469,0.002259633,0.7180996,0.1455359,0.0001859096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.341012,0.009153257,0.03133986,0.3131859,0.005418424,0.0001405522,0.0002789783,0.0004096878,0.2990614],"genre_scores_gemma":[0.98125,0.0006622485,0.003319332,0.01079045,0.0005667446,0.00004607937,0.00006251661,0.00006030506,0.003242448],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01670843,"threshold_uncertainty_score":0.08836371,"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."}}