{"id":"W2211319244","doi":"","title":"Hidden Histories and Collections: Discovering the Underbelly Project","year":2015,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Historical Geography and Cartography","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; World Wide Web; Data science; History; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005852848,0.0005762741,0.0004746504,0.002566167,0.02370344,0.01321139,0.001724494,0.001698702,0.009902289],"category_scores_gemma":[0.00886723,0.0009987135,0.0002427512,0.002409964,0.02587765,0.01631828,0.01761651,0.005958577,0.0007244145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007180076,"about_ca_system_score_gemma":0.006388132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02673908,"about_ca_topic_score_gemma":0.0953977,"domain_scores_codex":[0.9960374,0.002554459,0.00008159913,0.0003416181,0.0004645788,0.0005203346],"domain_scores_gemma":[0.9954034,0.001882963,0.0005541775,0.0005840982,0.0004363819,0.001138927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001960971,0.0000244726,0.002790311,0.00005410637,0.000004873541,0.001014492,0.9284595,0.00002998468,0.0002002699,0.04320686,0.01105283,0.01314272],"study_design_scores_gemma":[0.000005239594,0.00002560291,0.003279962,0.0004118154,0.000009035766,0.0006279573,0.7515448,0.00009942827,0.0002952584,0.009545142,0.234136,0.00001975578],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7598214,0.009692078,0.00840428,0.04113034,0.0008064686,0.0001832344,0.0002525205,0.0001490342,0.1795606],"genre_scores_gemma":[0.9610466,0.003594933,0.003132634,0.00166572,0.0001503724,0.00007458074,0.0001364579,0.000202145,0.02999638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02673908,"threshold_uncertainty_score":0.05316693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1341203225370287,"score_gpt":0.3319481900358908,"score_spread":0.1978278674988621,"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."}}