{"id":"W2810369529","doi":"10.1017/s1049096518000926","title":"Data Access, Transparency, and Replication: New Insights from the Political Behavior Literature","year":2018,"lang":"en","type":"article","venue":"PS Political Science & Politics","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Transparency (behavior); Politics; Replication (statistics); Political science; Data sharing; Public relations; Law; Statistics; Medicine; 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":["metaresearch","bibliometrics"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4539078,0.001243743,0.002732375,0.01667118,0.006775951,0.01997571,0.006566374,0.006356574,0.007763606],"category_scores_gemma":[0.8401303,0.001886123,0.003180887,0.02611863,0.03322706,0.03989817,0.01151196,0.008426318,0.0007067611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006287876,"about_ca_system_score_gemma":0.01204917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005947894,"about_ca_topic_score_gemma":0.004792255,"domain_scores_codex":[0.3914568,0.4978106,0.03183162,0.02596979,0.04852914,0.004402121],"domain_scores_gemma":[0.0278797,0.88115,0.03036334,0.04601805,0.01369189,0.0008970532],"domain_codex":"methods","domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001121016,0.0004749243,0.1478918,0.007417325,0.002344832,0.003678004,0.1335853,0.005225219,0.001132101,0.4801008,0.01522645,0.2018023],"study_design_scores_gemma":[0.0002221815,0.000218539,0.02944717,0.004812046,0.001069192,0.001648767,0.03155587,0.02960508,0.001641046,0.8664362,0.03303528,0.0003086666],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.23653,0.03296794,0.5109562,0.1653443,0.002214056,0.001909493,0.003309848,0.0004902197,0.04627799],"genre_scores_gemma":[0.9374876,0.002595874,0.05312662,0.003102863,0.001327703,0.001035725,0.000515434,0.0001514248,0.0006568356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9833288,"threshold_uncertainty_score":0.673429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1624169664032016,"score_gpt":0.4777498636635403,"score_spread":0.3153328972603388,"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."}}