{"id":"W7080787549","doi":"10.7910/dvn/bi6l0b","title":"Replication Data for: Estimating Peer Effects Using Partial Network Data","year":2025,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Replication (statistics); Replicate; Codebook; Empirical research; The Internet; Data file","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00832602,0.001724914,0.001247915,0.002878206,0.001751138,0.002536837,0.003768456,0.001706722,0.1620902],"category_scores_gemma":[0.05176029,0.000949441,0.001880434,0.004829295,0.0007375621,0.001827969,0.00210449,0.002644252,0.1276686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556969,"about_ca_system_score_gemma":0.003265791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02006176,"about_ca_topic_score_gemma":0.03926095,"domain_scores_codex":[0.9954977,0.001528731,0.0004840066,0.001098505,0.0009901549,0.0004008551],"domain_scores_gemma":[0.9728537,0.008093281,0.001352264,0.01222706,0.004544013,0.0009296832],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001023779,0.00005901277,0.002099501,0.0002251159,0.00006216245,0.00002993435,0.0000432474,0.0004983029,0.00009394059,0.001027832,0.9917299,0.004028689],"study_design_scores_gemma":[0.001816515,0.0001422924,0.0207493,0.0004641332,0.0001711864,0.0002654593,0.0003097824,0.00229559,0.001408132,0.01071094,0.9615429,0.0001236632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009410342,0.00006651545,0.00171721,0.0002082913,0.0001474116,0.0002311658,0.9930947,0.00114763,0.002446045],"genre_scores_gemma":[0.003808351,0.00005344919,0.004859785,0.0001601041,0.00005417298,0.001685646,0.9841038,0.00067277,0.004601952],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.991674,"threshold_uncertainty_score":0.5422457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06008966690666954,"score_gpt":0.3163886995770576,"score_spread":0.256299032670388,"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."}}