{"id":"W3214136846","doi":"","title":"Replication Study: Seli, Risko, and Smilek (2016) at McGill University","year":2019,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Replication (statistics); Medicine; Virology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06273477,0.002345417,0.002125809,0.00206623,0.008019376,0.00323822,0.003348294,0.003866595,0.02261618],"category_scores_gemma":[0.2251862,0.001818599,0.002595952,0.002227978,0.002648,0.003941159,0.002812071,0.005753939,0.009836579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003487095,"about_ca_system_score_gemma":0.01381942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05063574,"about_ca_topic_score_gemma":0.0593876,"domain_scores_codex":[0.9729617,0.01556556,0.002189406,0.002576351,0.005477597,0.001229468],"domain_scores_gemma":[0.840907,0.02129292,0.004204476,0.07222962,0.05866076,0.00270518],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.01993968,0.009918065,0.05737177,0.004934447,0.002301499,0.00213539,0.06196051,0.001572007,0.03671471,0.02432509,0.559207,0.2196199],"study_design_scores_gemma":[0.03381222,0.01156415,0.3162409,0.003836492,0.003902505,0.001609807,0.04212173,0.006237417,0.02283758,0.03797558,0.5182208,0.001640804],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4427717,0.007461204,0.1425866,0.05384872,0.02546602,0.2191838,0.04281105,0.005550447,0.06032046],"genre_scores_gemma":[0.5565816,0.001024887,0.1056351,0.02292964,0.001730787,0.2530524,0.01433598,0.0016229,0.04308672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9372652,"threshold_uncertainty_score":0.3317772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05149442188775585,"score_gpt":0.2580350305665008,"score_spread":0.206540608678745,"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."}}