{"id":"W4398713667","doi":"10.7910/dvn/itvlik/iacm82","title":"E7DB1968","year":2020,"lang":"nl","type":"dataset","venue":"Harvard Dataverse","topic":"Diverse Specialized Academic Research","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill 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":[],"category_scores_codex":[0.001676321,0.004270805,0.002819419,0.008362905,0.00146381,0.005655603,0.004555854,0.004233139,0.3514544],"category_scores_gemma":[0.01383421,0.001223615,0.002093617,0.01137304,0.0009743571,0.002352946,0.003832404,0.002490825,0.435073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641346,"about_ca_system_score_gemma":0.003435762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02294355,"about_ca_topic_score_gemma":0.03344683,"domain_scores_codex":[0.998168,0.0003823917,0.0002232184,0.0005605954,0.0003151738,0.0003505546],"domain_scores_gemma":[0.995374,0.001444793,0.0004751505,0.001191807,0.0008036562,0.0007106066],"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":[0.00004492724,0.00001490339,0.0002432283,0.0004590163,0.00002016987,0.000009331865,0.00001467926,0.00009902671,0.00003948823,0.0002709423,0.9977476,0.001036747],"study_design_scores_gemma":[0.0006304721,0.00003743787,0.001936479,0.0005333909,0.00005792444,0.00005078122,0.0001022357,0.0004845118,0.0002036723,0.002293463,0.9936283,0.00004141864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004854838,0.00005724938,0.00003272753,0.00006279368,0.0000306053,0.000006246575,0.9989396,0.0003423344,0.0004799067],"genre_scores_gemma":[0.0002246872,0.00006379656,0.0001449277,0.00007218294,0.00001721068,0.00005096929,0.9983683,0.0001553664,0.0009026048],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6485456,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05892287407056033,"score_gpt":0.2637497410350108,"score_spread":0.2048268669644505,"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."}}