{"id":"W7083694331","doi":"10.7910/dvn/o8p1nl","title":"Replication Data for: UFOs in the Cold War: A Fun Assignment for Teaching Digital Archival Research","year":2025,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Replication (statistics); Politics; Data collection; Digital data","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.005848788,0.0002375916,0.0002674111,0.0001760605,0.0004410282,0.0005302057,0.009300384,0.0001569289,0.00003147076],"category_scores_gemma":[0.006464117,0.0001913595,0.00007676177,0.0002519567,0.0001103887,0.0006583189,0.004449822,0.0008372288,0.0001835726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009255209,"about_ca_system_score_gemma":0.0003331067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000913552,"about_ca_topic_score_gemma":0.00002978405,"domain_scores_codex":[0.9967065,0.0002607727,0.0004171531,0.00147984,0.0005631598,0.0005725317],"domain_scores_gemma":[0.9874008,0.002163178,0.0001712673,0.01008568,0.0001129703,0.00006613694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002878897,0.0001325303,0.000002022041,0.000300418,0.00002433945,0.00001064058,0.00007885784,0.00001438039,0.00002601585,0.003124684,0.9927818,0.003475487],"study_design_scores_gemma":[0.0003913673,0.00006577819,0.00000434411,0.0001578199,0.00001845917,0.00000940029,0.0001636125,0.006299668,0.00002022756,0.001946843,0.9907236,0.000198913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001437814,0.000001804257,0.07018016,0.0006924448,0.0001836809,0.001539745,0.9262964,0.00003249601,0.001071855],"genre_scores_gemma":[0.0001075018,0.00003149218,0.005355384,0.0003101157,0.0002168697,0.0006276599,0.9923787,0.000002884921,0.0009694236],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06608228,"threshold_uncertainty_score":0.9960598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08273925224737003,"score_gpt":0.3491406942172791,"score_spread":0.266401441969909,"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."}}