{"id":"W1568719946","doi":"","title":"A Little Nostalgia: The Detective Novels of Alexandra Marinina","year":2005,"lang":"en","type":"article","venue":"International fiction review","topic":"Folklore, Mythology, and Literature Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Treasure; Art; Art history; Variety (cybernetics); History; Advertising; Computer science; Archaeology; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002140044,0.00009319522,0.0001632348,0.00004323561,0.0001292899,0.00003970354,0.0001739792,0.00002117724,0.002568685],"category_scores_gemma":[0.00009075926,0.00005800089,0.0001200045,0.00003394876,0.0001777554,0.0001471394,0.00005027124,0.0001181325,0.00008820946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002760043,"about_ca_system_score_gemma":0.00001057328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002818873,"about_ca_topic_score_gemma":0.00006896711,"domain_scores_codex":[0.9992937,0.00003810554,0.000297693,0.0001307721,0.0001580564,0.00008165603],"domain_scores_gemma":[0.9993337,0.00008830298,0.0001471709,0.0001276323,0.0002897176,0.00001350872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006936954,0.0001808377,0.0003154169,0.0005406094,0.0005193288,0.000003635995,0.02254555,0.00000837252,0.0000651254,0.5710647,0.3014685,0.1032186],"study_design_scores_gemma":[0.0001095915,0.00004267019,0.0005001326,0.0004076813,0.00003654335,0.00001211809,0.0003995824,0.00001995372,0.00003203128,0.0002565327,0.9981204,0.00006278931],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002036125,0.08058748,0.0001672792,0.01745657,0.002489678,0.0004495142,0.0001660618,0.00006411643,0.8965832],"genre_scores_gemma":[0.94029,0.02538447,0.0001401431,0.004323574,0.001933977,0.00009261107,0.00003836097,0.0000151247,0.02778174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9382539,"threshold_uncertainty_score":0.9983431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253535172246584,"score_gpt":0.273940624097831,"score_spread":0.2485871068731726,"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."}}