{"id":"W7071028641","doi":"","title":"Red Quarter Moon: A Search for Family in the Shadow of Stalin","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Soviet and Russian History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Shadow (psychology); Quarter (Canadian coin); Government (linguistics); Gloom","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001371128,0.0002046624,0.0003896224,0.0009995165,0.03567008,0.005544682,0.0007718505,0.002297771,0.01445552],"category_scores_gemma":[0.002461576,0.0002395863,0.0001588939,0.001132577,0.01414252,0.004307675,0.005995062,0.004685735,0.0007869513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007147803,"about_ca_system_score_gemma":0.006164498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04064595,"about_ca_topic_score_gemma":0.1276578,"domain_scores_codex":[0.9989373,0.0005097065,0.00001619645,0.00007650174,0.00005849788,0.000401807],"domain_scores_gemma":[0.9989724,0.0003014521,0.0000816327,0.00004054453,0.00009281823,0.0005113145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001443413,0.00003492341,0.004215911,0.00006393458,0.000007624334,0.001905445,0.6987299,0.00004200821,0.0003308455,0.186106,0.09252355,0.01589567],"study_design_scores_gemma":[0.000007203803,0.00002099514,0.002432265,0.0001199672,0.00000449116,0.0003777143,0.6694406,0.00004920718,0.000112289,0.007662564,0.3197615,0.00001112083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5491189,0.01092452,0.000638468,0.1820622,0.002484205,0.00003585134,0.0001291544,0.00005909703,0.2545477],"genre_scores_gemma":[0.9600779,0.001475388,0.0001489439,0.007350225,0.0001375291,0.0000148433,0.00002280722,0.0000435059,0.03072876],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04064595,"threshold_uncertainty_score":0.08081871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04954170467515932,"score_gpt":0.2830464878099592,"score_spread":0.2335047831347998,"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."}}