{"id":"W2913563017","doi":"10.1080/17583489.2018.1515709","title":"Uncovering the McGill Library Lyman Collection: The Lasting Legacy of an Amateur Entomologist","year":2018,"lang":"en","type":"article","venue":"Library & Information History","topic":"Historical and Literary Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Amateur; Special collections; History; Library science; TRACE (psycholinguistics); Archaeology; Computer science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006320618,0.0004638165,0.0004125827,0.004938552,0.06507156,0.016124,0.002720725,0.00159427,0.006559798],"category_scores_gemma":[0.01408752,0.0005113047,0.0002022144,0.009062405,0.02414854,0.004942188,0.008348642,0.003313352,0.001112078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05142627,"about_ca_system_score_gemma":0.05755527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.732658,"about_ca_topic_score_gemma":0.9205794,"domain_scores_codex":[0.9935681,0.00221611,0.0001538114,0.0004517058,0.002442103,0.001168151],"domain_scores_gemma":[0.9851543,0.004265783,0.001574577,0.001031933,0.004498105,0.003475283],"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":[0.00005753288,0.00002509182,0.006026503,0.0001795573,0.0000143958,0.001989661,0.798162,0.00003746829,0.001063981,0.02077918,0.1155615,0.05610314],"study_design_scores_gemma":[0.000001724991,0.00001341821,0.005960742,0.0001964497,0.000009743807,0.0005224059,0.2755193,0.0000295634,0.0004124309,0.0005851589,0.7167091,0.00003990722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5174584,0.0352326,0.004093158,0.2066819,0.004009901,0.0002011802,0.0009235097,0.0005495906,0.2308498],"genre_scores_gemma":[0.8337063,0.01059862,0.004178541,0.01840403,0.001128605,0.0001049148,0.0002839811,0.0005068989,0.131088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.732658,"threshold_uncertainty_score":0.5378327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855146424251535,"score_gpt":0.2269675404548637,"score_spread":0.2084160762123483,"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."}}