{"id":"W4392108037","doi":"10.15173/m.v1i31.1839","title":"Table of Contents","year":2018,"lang":"en","type":"article","venue":"The Meducator","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Table (database); Population health; Medicine; Environmental health; Computer science; Population; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007285231,0.000785764,0.001073883,0.005064026,0.001715748,0.004818895,0.00134687,0.001089642,0.8540663],"category_scores_gemma":[0.008419193,0.0002916254,0.0005177332,0.003429894,0.0004325655,0.002046891,0.002287197,0.00107902,0.7953407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719489,"about_ca_system_score_gemma":0.002355805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002782494,"about_ca_topic_score_gemma":0.004256782,"domain_scores_codex":[0.9993607,0.0001068591,0.00003521796,0.0001124165,0.0003253361,0.00005931878],"domain_scores_gemma":[0.996994,0.0005584285,0.0001501517,0.0003553622,0.001403418,0.0005387179],"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":[0.000009762977,0.00001673186,0.0001110646,0.00009426282,0.000001784245,0.00001016354,0.000009774864,0.00003298784,0.00005563029,0.001466293,0.953617,0.04457459],"study_design_scores_gemma":[0.000003316193,0.000006672205,0.0002613319,0.0001049101,0.000002095582,0.00002549836,0.0000208551,0.00003162799,0.0000546501,0.001002021,0.9984834,0.000003554588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004487801,0.004260255,0.001903673,0.004035367,0.01383733,0.0003904569,0.03319969,0.002367761,0.9395567],"genre_scores_gemma":[0.002467068,0.002265399,0.001261557,0.002091085,0.003624229,0.0002757279,0.01719391,0.000991732,0.9698293],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1459337,"threshold_uncertainty_score":0.2081567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06635253045536589,"score_gpt":0.2285610575536207,"score_spread":0.1622085270982548,"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."}}