{"id":"W2904242787","doi":"10.31274/archivalissues.11005","title":"Finding Your Family in Federal Record Group 33.6: Navigating the Agricultural Extension Service Archives","year":2015,"lang":"en","type":"article","venue":"Archival issues","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Extension (predicate logic); Service (business); Agricultural extension; Agriculture; Group (periodic table); Business; Geography; World Wide Web; Computer science; Marketing; Archaeology; Programming language","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":[0.0002308069,0.0001479779,0.0001485116,0.00001417439,0.000411898,0.0001240377,0.0003092856,0.00002259036,0.0000121148],"category_scores_gemma":[0.0001290138,0.00004953198,0.00004658225,0.0005400922,0.00007797582,0.0002051786,0.0002276601,0.000253114,0.00006861331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002401009,"about_ca_system_score_gemma":0.00000975596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003578036,"about_ca_topic_score_gemma":0.002239366,"domain_scores_codex":[0.998836,0.0001288484,0.000239734,0.0002689452,0.0002436174,0.0002828411],"domain_scores_gemma":[0.9993504,0.0003573051,0.00008793068,0.00005968041,0.00008398491,0.00006073337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000164534,0.0006110249,0.222829,0.00002929566,0.00009010201,0.00002284575,0.0586534,0.0002081898,0.4088276,0.0188319,0.01753952,0.2721925],"study_design_scores_gemma":[0.0001019716,0.00007692903,0.9475815,0.00008810096,0.000003321482,0.000005106321,0.03804208,0.00008675225,0.0001584794,0.006528146,0.007168081,0.0001595484],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750127,0.0001873488,0.000001158502,0.01658698,0.0003067029,0.0001802097,0.00001418833,0.00005605639,0.007654704],"genre_scores_gemma":[0.9968937,0.0000372155,0.001214452,0.0006600475,0.0005314386,0.00002847874,0.0001067573,0.000001291438,0.0005266009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7247524,"threshold_uncertainty_score":0.5408944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1242231107016145,"score_gpt":0.317190335536611,"score_spread":0.1929672248349966,"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."}}