{"id":"W2346406886","doi":"","title":"Things I Have Learned about Meta-Analysis since 1990: Reducing Bias in Search of \"The Big Picture\"","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Teacher Education and Leadership Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meta-analysis; Publication bias; Reliability (semiconductor); Psychology; Interpretation (philosophy); Systematic review; Management science; Computer science; Data science; MEDLINE; Political science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":["metaresearch"],"category_scores_codex":[0.6051677,0.003746282,0.0148366,0.02243451,0.005358374,0.02152944,0.008202793,0.01483602,0.002694537],"category_scores_gemma":[0.8545458,0.004408322,0.01174666,0.02731019,0.01986586,0.02698829,0.01398895,0.02462188,0.0008888999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01146539,"about_ca_system_score_gemma":0.02399791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005901651,"about_ca_topic_score_gemma":0.008431275,"domain_scores_codex":[0.2697338,0.5889755,0.08311389,0.01727122,0.03961693,0.001288682],"domain_scores_gemma":[0.1037338,0.7941948,0.03705039,0.03749923,0.02592479,0.001597113],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001029114,0.00009813753,0.009986185,0.2202296,0.06522454,0.00101636,0.03453015,0.003792397,0.001070459,0.143346,0.09581506,0.423862],"study_design_scores_gemma":[0.0008624215,0.0008235638,0.005250462,0.2726391,0.02847171,0.001566762,0.005762596,0.004871325,0.001695335,0.4985685,0.1785436,0.0009447164],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.002951011,0.5469915,0.1207909,0.2997563,0.02519351,0.001093285,0.0005948468,0.0004724113,0.002156305],"genre_scores_gemma":[0.1013429,0.308903,0.3905423,0.163916,0.02343396,0.009251107,0.0005052674,0.000829594,0.00127588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3948323,"threshold_uncertainty_score":0.4868985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1825622326348776,"score_gpt":0.3690385751649839,"score_spread":0.1864763425301063,"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."}}