{"id":"W4392107815","doi":"10.15173/m.v1i24.838","title":"Issue 24 Table of Contents","year":2013,"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); Computer science; 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":[0.0007717295,0.001047868,0.001194563,0.004953008,0.001811418,0.006141904,0.001547652,0.001548945,0.8770729],"category_scores_gemma":[0.005769058,0.0003909022,0.0007394479,0.003360609,0.0005196609,0.002388112,0.002221323,0.001558635,0.8368178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016464,"about_ca_system_score_gemma":0.003143583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003713659,"about_ca_topic_score_gemma":0.005971459,"domain_scores_codex":[0.9993093,0.00008235409,0.00003604611,0.0001157729,0.0003724466,0.0000841225],"domain_scores_gemma":[0.996851,0.0003500367,0.0001532496,0.000346203,0.001563422,0.0007360071],"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":[0.00001086589,0.00001818299,0.00006874412,0.00008199285,0.000001688408,0.000009540548,0.000004491409,0.00002100764,0.00006221273,0.000770302,0.9704022,0.02854882],"study_design_scores_gemma":[0.000005654655,0.00001040665,0.000316541,0.00009448481,0.000002032481,0.00001906896,0.00001412666,0.00003124086,0.00006470594,0.0005690666,0.9988689,0.000003760179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002757577,0.002115591,0.000677885,0.003541924,0.01840655,0.0003572227,0.0152938,0.001532592,0.9577986],"genre_scores_gemma":[0.0009305999,0.0008901056,0.0003034209,0.001200671,0.002813846,0.0001192274,0.005499761,0.000454388,0.987788],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1229271,"threshold_uncertainty_score":0.1753405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04856483021415293,"score_gpt":0.2100353092514774,"score_spread":0.1614704790373245,"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."}}