{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001274459,0.0002115194,0.0002460364,0.0000901911,0.0002586242,0.0001953776,0.001104331,0.00009712055,0.01787023],"category_scores_gemma":[0.000384642,0.0001947684,0.00007975395,0.000258168,0.00005498088,0.001541657,0.003341641,0.0001774099,0.3481795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002962231,"about_ca_system_score_gemma":0.0000483212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007365054,"about_ca_topic_score_gemma":0.0001083731,"domain_scores_codex":[0.9967664,0.0002230081,0.000251738,0.002169891,0.0002857404,0.0003032546],"domain_scores_gemma":[0.9949048,0.0001869654,0.0001793637,0.004322143,0.0001459079,0.0002608707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000727338,0.004075495,0.3104666,0.0002875726,0.0008616503,0.0004352723,0.02440837,0.001535883,0.05306466,0.1118836,0.191248,0.3010055],"study_design_scores_gemma":[0.001889491,0.00001713063,0.3231944,0.00006226546,0.00005285253,0.0001588887,0.0004316541,0.003664588,0.009438,0.008337382,0.6518946,0.0008588007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6253055,0.000001128046,0.0006155317,0.0002500891,0.0001204009,0.0006633341,0.00001322856,0.0001601938,0.3728706],"genre_scores_gemma":[0.6802973,0.00003624214,0.000645331,0.0001305644,0.00001192668,0.000005929252,0.000004187402,0.000009058863,0.3188595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4606465,"threshold_uncertainty_score":0.9830276,"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."}}