{"id":"W7033831628","doi":"","title":"Replication of Feng, S., D’Mello, S., & Graesser, A. C. (2013).","year":2019,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Replication (statistics); Reading (process); Comprehension; Sample (material); Association (psychology); Exposition (narrative)","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":[0.01600343,0.001601163,0.00148788,0.002260331,0.003164927,0.00351866,0.003304668,0.001968494,0.04758323],"category_scores_gemma":[0.122764,0.0009135311,0.002976669,0.0027751,0.002360022,0.003926636,0.004886182,0.003972558,0.01412587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002115568,"about_ca_system_score_gemma":0.004571178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02453721,"about_ca_topic_score_gemma":0.02621222,"domain_scores_codex":[0.9916667,0.002502117,0.001041151,0.002075551,0.002382148,0.0003322575],"domain_scores_gemma":[0.8925341,0.02404517,0.00670673,0.04629657,0.02777052,0.002646982],"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":[0.01100804,0.01074986,0.162292,0.009694845,0.005052676,0.001306997,0.05207552,0.001063842,0.02150714,0.03911217,0.4276549,0.2584821],"study_design_scores_gemma":[0.003900777,0.003213337,0.7039395,0.001361642,0.004520344,0.001248025,0.008239199,0.001318664,0.01053398,0.02345485,0.2376672,0.0006024613],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.547696,0.006752753,0.03631784,0.03255693,0.02144769,0.0220325,0.1128038,0.001942741,0.2184496],"genre_scores_gemma":[0.8012444,0.001512973,0.03343784,0.01914868,0.002068801,0.03726319,0.0334818,0.00139573,0.07044663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9839966,"threshold_uncertainty_score":0.1591817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07919023401892412,"score_gpt":0.3573330849911482,"score_spread":0.2781428509722241,"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."}}