{"id":"W4398381197","doi":"10.7910/dvn/fmk6sq/9x4tvm","title":"645919_1.roi","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Artificial intelligence","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":[],"category_scores_codex":[0.001001069,0.002078952,0.001661351,0.004442045,0.0006233726,0.003273913,0.002824394,0.002187002,0.1784414],"category_scores_gemma":[0.006628981,0.0007323236,0.001139911,0.007365529,0.0004165934,0.001745657,0.002281907,0.001580268,0.2576328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311679,"about_ca_system_score_gemma":0.001669183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01857538,"about_ca_topic_score_gemma":0.02760674,"domain_scores_codex":[0.9990317,0.0002033997,0.0001013039,0.0002976175,0.000184029,0.0001820219],"domain_scores_gemma":[0.9981644,0.0004986841,0.000239212,0.0004270252,0.0004391198,0.0002317384],"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":[0.00003035163,0.00000730998,0.0002801715,0.0003122005,0.00001548502,0.000005999702,0.000009491283,0.0001216317,0.00004111082,0.0003977993,0.9974676,0.001310882],"study_design_scores_gemma":[0.0001700964,0.00001384738,0.001607519,0.0002636682,0.00002248593,0.00002343878,0.00003970027,0.0002928419,0.0001733033,0.001413965,0.9959589,0.0000202791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004638163,0.00006626744,0.00003841385,0.00005908147,0.00001970933,0.00000397525,0.998743,0.0003170703,0.0007060911],"genre_scores_gemma":[0.0003210622,0.00008474264,0.0001733164,0.00007137013,0.00001467479,0.00004237825,0.9980718,0.0001427358,0.001077844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8215586,"threshold_uncertainty_score":0.5969461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0441991314746912,"score_gpt":0.2079714151476619,"score_spread":0.1637722836729707,"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."}}