{"id":"W7139736539","doi":"","title":"Timeline of Ferdinand Marcos' Bank Accounts (Paper Copy & overhead)","year":2018,"lang":"en","type":"article","venue":"ScholarSpace (University of Hawaii at Manoa)","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Timeline; Data bank; The Internet; Quarter (Canadian coin)","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":[0.0006430056,0.0007340449,0.000408681,0.007531418,0.001435399,0.00282095,0.0008325604,0.001174196,0.1420683],"category_scores_gemma":[0.006975521,0.0004379767,0.0002757338,0.005924421,0.0003446514,0.001427711,0.0006033881,0.001575761,0.1065499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687408,"about_ca_system_score_gemma":0.001962498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04604717,"about_ca_topic_score_gemma":0.04429731,"domain_scores_codex":[0.9990805,0.00005242163,0.00006706626,0.0001344479,0.0005136078,0.0001519992],"domain_scores_gemma":[0.993187,0.001131952,0.0009720435,0.0004583152,0.003733993,0.0005166692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007574612,0.000009569835,0.0007871414,0.00004305763,0.000002006656,0.00002825275,0.00003185944,0.0000580206,0.0001339851,0.001444514,0.9854121,0.01197378],"study_design_scores_gemma":[0.00001254914,0.00001093885,0.01528057,0.00004422379,0.000002968497,0.00005357789,0.00007867198,0.0001640894,0.0004824179,0.0002974715,0.9835622,0.00001029852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01506967,0.004402285,0.003373915,0.0166778,0.02289654,0.0006178816,0.5280163,0.004780571,0.404165],"genre_scores_gemma":[0.04994464,0.003186241,0.002907311,0.001564635,0.004326111,0.0005496942,0.1378529,0.00117472,0.7984938],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1420683,"threshold_uncertainty_score":0.4752659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606211738634677,"score_gpt":0.2003159304601395,"score_spread":0.1842538130737927,"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."}}