{"id":"W3121259681","doi":"","title":"Overcoming the Invisibility of Metrology: A Reading Measurement Network for Education and the Social Sciences","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Invisibility; Reading (process); Metrology; Traceability; Quality (philosophy); Political science; Behavioural sciences; Social science; Engineering ethics; Public relations; Sociology; Computer science; Engineering; Epistemology; Law; Mathematics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.009886392,0.000078755,0.0001603672,0.0000566039,0.0008583935,0.0001196983,0.0007217518,0.00002920913,9.677809e-7],"category_scores_gemma":[0.0002574776,0.00004122324,0.00009662259,0.0003423137,0.0002995727,0.0003916137,0.00009846708,0.0004227947,2.980415e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003231199,"about_ca_system_score_gemma":0.000988786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001029948,"about_ca_topic_score_gemma":0.0002060809,"domain_scores_codex":[0.9983186,0.0002344179,0.0002546392,0.0001702513,0.0002906898,0.0007314528],"domain_scores_gemma":[0.9990208,0.0002515663,0.0003065904,0.0001699524,0.0002351194,0.00001603375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009509406,0.00001919145,0.0009148944,0.000002189922,0.00006027136,6.485443e-9,0.0003889402,0.00003424485,0.0002832089,0.9009929,0.0002265781,0.09706809],"study_design_scores_gemma":[0.0002128757,0.00008897347,0.001032887,0.000007896284,0.00002886864,0.00001764293,0.0005404487,0.006402551,0.0001464656,0.9913009,0.000169757,0.00005076269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04854167,0.002771247,0.9399309,0.008149168,0.00007488327,0.0003525662,7.900145e-8,0.00002020318,0.000159273],"genre_scores_gemma":[0.9844441,0.0002321303,0.01480055,0.0002920274,0.0001639671,0.00004501175,7.132837e-8,0.000003324477,0.00001879665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9359025,"threshold_uncertainty_score":0.6602156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129911885697205,"score_gpt":0.3078997637470125,"score_spread":0.2866006448900404,"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."}}