{"id":"W4398809903","doi":"10.7910/dvn/yiqkn8/wmqpwj","title":"psrm-pickup-hopkins-replication.zip","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Replication (statistics); Estimator; Pickup; Computer science; Mathematics; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003920633,0.0004430756,0.0009502921,0.0004850712,0.0001623511,0.0002413098,0.00156865,0.0003808759,0.07034163],"category_scores_gemma":[0.0006176244,0.00051913,0.0003346114,0.0006472517,0.00008658253,0.0004202511,0.0005943127,0.0005066245,0.7340695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001137313,"about_ca_system_score_gemma":0.00006274741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007872534,"about_ca_topic_score_gemma":0.0006141214,"domain_scores_codex":[0.9969904,0.00003226213,0.001001134,0.001453817,0.0001134891,0.0004088352],"domain_scores_gemma":[0.9952061,0.00006621701,0.0008240603,0.003580507,0.00004630002,0.0002767922],"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":[0.00002023361,0.00007421904,0.0001864594,0.00009612623,0.0002596743,0.00003642427,0.00001989139,0.000006490494,9.218645e-7,0.001551039,0.997449,0.0002995659],"study_design_scores_gemma":[0.0003457836,0.00003980518,0.0002319858,0.00002057457,0.0001305547,0.00000545827,0.00001316327,0.0002260634,0.000003991491,0.0004706524,0.997919,0.0005930175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006608993,0.00001248565,0.0005487843,0.0001021053,0.000687411,0.0002532068,0.996233,0.00007097784,0.002085402],"genre_scores_gemma":[0.00005452598,0.002838398,0.0003379664,0.002210388,0.0007526004,0.00006022094,0.993221,0.00004050156,0.0004844254],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6637278,"threshold_uncertainty_score":0.9997261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0419749642503064,"score_gpt":0.2285369272472762,"score_spread":0.1865619629969698,"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."}}