{"id":"W3215497517","doi":"","title":"Subject information organization in archival documents","year":2018,"lang":"en","type":"article","venue":"","topic":"Information Science and Libraries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Political science; Humanities; Philosophy; Library science; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001756612,0.00004011506,0.00003659142,0.0001862429,0.00008323882,0.0004077736,0.0003916171,0.00001398466,0.00008600207],"category_scores_gemma":[0.00006935048,0.00003266314,0.000005413765,0.001223314,0.00003615763,0.01265362,0.0001161797,0.00002889524,0.001070099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001400353,"about_ca_system_score_gemma":0.00007602706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002528076,"about_ca_topic_score_gemma":0.00000538879,"domain_scores_codex":[0.99945,0.00001260315,0.0001754151,0.00005828172,0.0001831485,0.0001205522],"domain_scores_gemma":[0.9996501,0.00001312935,0.00004321239,0.0001570514,0.000111029,0.00002543848],"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":[0.000002540865,0.0000108094,0.01322365,0.000003943775,0.000001289046,3.133879e-7,0.01359295,0.00002985048,0.0000773718,0.9198032,0.004406828,0.04884723],"study_design_scores_gemma":[0.001471674,0.0002937473,0.5899497,0.00002995772,0.000001621127,0.00003233316,0.00105269,0.1889444,0.06866784,0.04005011,0.1088302,0.0006758192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07384023,3.371075e-7,0.7802693,0.0006521511,0.0002554926,0.00007533249,2.544062e-7,0.000120977,0.1447859],"genre_scores_gemma":[0.9826445,0.000001123224,0.01550139,0.001625476,0.00002590871,0.000001421567,0.000005997528,8.803523e-7,0.00019333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9088042,"threshold_uncertainty_score":0.9997077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006972263278048606,"score_gpt":0.2225029892066903,"score_spread":0.2155307259286417,"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."}}