{"id":"W6925526432","doi":"10.17613/e03fj-b8s13","title":"Recognizing Authority and Respecting Expertise in Language Work","year":2021,"lang":"en","type":"article","venue":"Knowledge Commons (Lakehead University)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Work (physics); Action (physics); Government (linguistics); Key (lock)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001180872,0.00009070624,0.0001235698,0.0001911978,0.0002109447,0.00008916492,0.0003055533,0.00004173449,0.000007306091],"category_scores_gemma":[0.00004060044,0.0001162537,0.00003958767,0.001771354,0.00003358672,0.0002403775,0.0004525127,0.0001815647,0.0000238761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009945129,"about_ca_system_score_gemma":0.0001221055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003474973,"about_ca_topic_score_gemma":0.0120106,"domain_scores_codex":[0.9991975,0.0001260159,0.0001066345,0.0003323798,0.00007129149,0.0001661923],"domain_scores_gemma":[0.9992125,0.0002388457,0.00002644331,0.0003281651,0.0001025654,0.00009149812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001060999,0.0003790249,0.03962933,0.00002611868,0.00002297905,0.000321318,0.01657083,0.00006347956,0.001622546,0.6285173,0.0008895586,0.311947],"study_design_scores_gemma":[0.003233489,0.00008213551,0.7325622,0.0005865393,0.00004155194,0.00007262271,0.002581633,0.03278304,0.004013465,0.02741675,0.1949961,0.001630469],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.814961,0.001151237,0.1154998,0.001381092,0.0001478571,0.0001042966,0.000003737783,0.0001473907,0.06660358],"genre_scores_gemma":[0.9963141,0.000001292581,0.002377295,0.000005950552,0.0000308465,0.000001117461,0.000005314953,0.000005386747,0.001258674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6929328,"threshold_uncertainty_score":0.6702195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03603529579915826,"score_gpt":0.2698978713976416,"score_spread":0.2338625755984833,"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."}}