{"id":"W2919631675","doi":"10.21702/rpj.2018.4.10","title":"Systematically Searching Empirical Literature in the Social Sciences: Results from Two Meta-Analyses Within the Domain of Education","year":2019,"lang":"en","type":"article","venue":"Российский психологический журнал","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Representativeness heuristic; Information retrieval; Computer science; Subject (documents); Data science; Meta-analysis; Domain (mathematical analysis); Citation; Multidisciplinary approach; World Wide Web; Statistics; Sociology; Social science; Mathematics","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":["metaresearch","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.2028127,0.0005892789,0.004932614,0.0007441121,0.0005655021,0.00282269,0.006340238,0.0001897323,0.00157067],"category_scores_gemma":[0.02941625,0.0001928792,0.003498788,0.006376625,0.0004503379,0.0006031209,0.0003376826,0.0007887334,0.001320957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007209668,"about_ca_system_score_gemma":0.0006173791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002869252,"about_ca_topic_score_gemma":0.0002652764,"domain_scores_codex":[0.9291531,0.04356645,0.01318889,0.001928424,0.0115775,0.0005855752],"domain_scores_gemma":[0.9652835,0.02121175,0.006915173,0.005093623,0.001379757,0.0001162496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004925319,0.002104205,0.06148222,0.001412017,0.01440074,0.00005886667,0.3875946,0.0115959,0.004553995,0.2963672,0.2082204,0.01171743],"study_design_scores_gemma":[0.004801807,0.0006826199,0.07874389,0.002422377,0.01715337,0.0001742326,0.2754923,0.057188,0.0005469425,0.5187111,0.04138983,0.002693527],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9360843,0.00410631,0.002422915,0.01471968,0.0007407336,0.003109554,0.0002293236,0.00001423326,0.03857298],"genre_scores_gemma":[0.9898229,0.000006592256,0.005602775,0.001949397,0.0003164673,0.0001057784,0.00003985994,0.00001914475,0.00213705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2223439,"threshold_uncertainty_score":0.9994566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8577897498230237,"score_gpt":0.6379552663371699,"score_spread":0.2198344834858538,"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."}}