{"id":"W4398689099","doi":"10.7910/dvn/esthij","title":"Replication Data for: Hypothesis Testing with Error Correction Models","year":2021,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Replication (statistics); Computer science; Statistics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.01540883,0.001756577,0.001581281,0.003209315,0.001424415,0.002758731,0.004887544,0.003204993,0.0767673],"category_scores_gemma":[0.1354831,0.0009660098,0.001984354,0.005793126,0.001404654,0.002190518,0.002905102,0.003372946,0.04774712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203736,"about_ca_system_score_gemma":0.003380446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005832397,"about_ca_topic_score_gemma":0.01199235,"domain_scores_codex":[0.9891903,0.005044654,0.001582369,0.002164687,0.001608724,0.0004092555],"domain_scores_gemma":[0.9479974,0.02640289,0.003415457,0.01692822,0.004400301,0.0008557607],"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":[0.0006360579,0.0001717549,0.008142889,0.002403031,0.0004647188,0.0001786721,0.0002150668,0.001401613,0.0003436652,0.004285953,0.9674943,0.01426229],"study_design_scores_gemma":[0.004326975,0.0001902819,0.01811352,0.0008844975,0.0002977082,0.0004785723,0.0003412536,0.004189698,0.00152438,0.02661116,0.9428683,0.0001736833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003360203,0.0003999565,0.005934636,0.0008864627,0.0002773479,0.0005977543,0.9822918,0.003257619,0.002994214],"genre_scores_gemma":[0.02461298,0.0002596879,0.03517025,0.0008591514,0.0001334974,0.008267755,0.9257244,0.001508917,0.003463306],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0767673,"threshold_uncertainty_score":0.2568122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.151622939362962,"score_gpt":0.2948818444379449,"score_spread":0.1432589050749829,"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."}}