{"id":"W3037493724","doi":"10.1177/2096608320922324","title":"The East Asian History of Science Library/Needham Research Institute as an intellectual hub in the late 1970s and 1980s","year":2020,"lang":"en","type":"article","venue":"Cultures of Science","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"China; Civilization; East Asia; Library science; History of science; Chinese science; History; Political science; Sociology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["sts"],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["sts"],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0037163,0.0003887991,0.000502268,0.002826162,0.01803022,0.01270069,0.000833602,0.001310568,0.009346031],"category_scores_gemma":[0.002362652,0.0004091041,0.0001910772,0.006490532,0.01036784,0.006445469,0.007500416,0.003077707,0.001219406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02588763,"about_ca_system_score_gemma":0.03319775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05735314,"about_ca_topic_score_gemma":0.1479435,"domain_scores_codex":[0.9979867,0.0006315227,0.00008184464,0.0002448877,0.0003983256,0.0006567088],"domain_scores_gemma":[0.9976227,0.0005930717,0.0002316968,0.000159271,0.0003733144,0.001020006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001336759,0.00006642259,0.005019414,0.0003803071,0.00002403309,0.001395659,0.2946027,0.0001178517,0.0009330777,0.5719219,0.06173526,0.06366971],"study_design_scores_gemma":[0.000005132579,0.0000181423,0.00567819,0.0001678285,0.00001085206,0.0001488535,0.04098343,0.00005201787,0.0006702131,0.005345438,0.9468956,0.00002432023],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2049866,0.05021026,0.001434601,0.06018395,0.001717645,0.00008820932,0.0003033539,0.0001723356,0.6809031],"genre_scores_gemma":[0.7163622,0.02285248,0.000857825,0.005748654,0.0007142933,0.0001061404,0.0001147371,0.0001201987,0.2531235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9819698,"threshold_uncertainty_score":0.1878287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1111417620284541,"score_gpt":0.3572662315149826,"score_spread":0.2461244694865285,"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."}}