{"id":"W3167164414","doi":"","title":"Lists of appendices, figures, tables, and monitoring schedules","year":2010,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001742761,0.001479394,0.002231538,0.01339816,0.001528083,0.003010805,0.002806591,0.001377834,0.8410631],"category_scores_gemma":[0.04352429,0.001141416,0.0008520944,0.02103579,0.0003476632,0.004143148,0.001551465,0.001511295,0.7186197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369479,"about_ca_system_score_gemma":0.002272248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006986056,"about_ca_topic_score_gemma":0.006795485,"domain_scores_codex":[0.9981624,0.0002311806,0.0004524329,0.0002837534,0.0007612946,0.00010895],"domain_scores_gemma":[0.9510221,0.01125818,0.002981214,0.005033678,0.02779924,0.001905501],"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":[0.00004015341,0.00002215015,0.0002397753,0.0003775319,0.000005554728,0.00002006931,0.00001131493,0.000156777,0.00009962195,0.0009707043,0.9745419,0.02351454],"study_design_scores_gemma":[0.00002849835,0.00002444129,0.001614051,0.0002948229,0.00001262516,0.00004575384,0.00003213609,0.000212122,0.0002070085,0.002001411,0.9955046,0.00002256093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0009430623,0.002551738,0.008384299,0.004484314,0.0154586,0.00123123,0.6653844,0.006992085,0.2945704],"genre_scores_gemma":[0.005187363,0.005445237,0.009430201,0.001885414,0.006557595,0.00218643,0.5154007,0.003316017,0.4505911],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1589369,"threshold_uncertainty_score":0.2267041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899835038235979,"score_gpt":0.2110288432990374,"score_spread":0.1820304929166776,"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."}}