{"id":"W2024473091","doi":"10.2134/csa2015-60-5-1","title":"Moving science <i>forward</i> through: Meta‐analysis","year":2015,"lang":"el","type":"article","venue":"CSA News","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Reading (process); Operations research; Psychology; Sociology; Library science; Computer science; Political science; Law; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2068152,0.00317588,0.01073963,0.0103197,0.001686863,0.01431156,0.005176082,0.007211686,0.007653631],"category_scores_gemma":[0.4579727,0.002464064,0.01945907,0.01030776,0.002874628,0.01083999,0.006476596,0.01505062,0.001205273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00679515,"about_ca_system_score_gemma":0.01178792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0098496,"about_ca_topic_score_gemma":0.01202188,"domain_scores_codex":[0.6596277,0.2959047,0.01783355,0.01045321,0.01484547,0.001335394],"domain_scores_gemma":[0.4515156,0.499346,0.01333742,0.01863571,0.01534793,0.001817318],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002707757,0.0001484796,0.0121723,0.1331455,0.3755586,0.000558597,0.002443195,0.00396624,0.001143133,0.03554171,0.1910706,0.241544],"study_design_scores_gemma":[0.004336943,0.001196727,0.01191407,0.228981,0.2914156,0.000717853,0.001449803,0.01590853,0.002196166,0.2113043,0.2295907,0.0009883092],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.003478076,0.6858533,0.06752587,0.2147878,0.01990927,0.001263161,0.002856911,0.001080401,0.00324519],"genre_scores_gemma":[0.1329737,0.3255754,0.2764127,0.2297817,0.01996197,0.00787452,0.002595862,0.0019223,0.002901811],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7931848,"threshold_uncertainty_score":0.978138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09717660791607326,"score_gpt":0.303617977400704,"score_spread":0.2064413694846307,"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."}}