{"id":"W4398293416","doi":"10.7910/dvn/6ffkri/2t8l8j","title":"Study2_Analysis.do","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Replication (statistics); Business; Computer science; Biology; Virology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001060881,0.0002437337,0.0005141459,0.0002297546,0.0005332069,0.0002952973,0.001052705,0.0002070362,0.06129248],"category_scores_gemma":[0.001134161,0.0002420869,0.0003408058,0.0008677525,0.00021197,0.000203644,0.0003710543,0.0003783358,0.2257285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001037091,"about_ca_system_score_gemma":0.0004227081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003962538,"about_ca_topic_score_gemma":0.002942457,"domain_scores_codex":[0.9969785,0.0007652919,0.0003622371,0.0005659485,0.001014323,0.0003137029],"domain_scores_gemma":[0.9983253,0.0003514133,0.0002602189,0.0006051899,0.0001581802,0.0002996222],"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":[0.000008766957,0.00005781604,0.000009799916,0.00001607581,0.000302357,0.00006454035,0.0002775659,0.00001707354,3.371564e-7,0.0006191661,0.9960417,0.002584781],"study_design_scores_gemma":[0.0001133362,0.00001483224,0.00002052467,0.00001519238,0.0006392311,4.252696e-7,0.0007910269,0.00002864814,2.199908e-7,0.0004897027,0.9976142,0.0002726363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001511388,0.000002681409,0.0003905971,0.00006728482,0.0003879798,0.0001461624,0.9961488,0.0000597798,0.002795243],"genre_scores_gemma":[0.00002049984,0.0005014173,0.001055734,0.0006619127,0.001140608,0.00001229814,0.9956005,0.00001078506,0.0009962701],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.164436,"threshold_uncertainty_score":0.9872018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04345078028204818,"score_gpt":0.3524240146506909,"score_spread":0.3089732343686427,"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."}}