{"id":"W1999534175","doi":"10.1111/j.1600-0706.2013.00970.x","title":"Formalized synthesis opportunities for ecology: systematic reviews and meta‐analyses","year":2014,"lang":"en","type":"article","venue":"Oikos","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Systematic review; Scope (computer science); Data science; Computer science; Ecology; Set (abstract data type); Workflow; Meta-analysis; Management science; MEDLINE; Political science; Biology; Engineering","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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4098201,0.004722153,0.00969152,0.03020238,0.002781035,0.02331042,0.00618111,0.009635954,0.02646745],"category_scores_gemma":[0.6108463,0.003573377,0.009790175,0.01632393,0.01196349,0.02300034,0.01638109,0.01869571,0.006546515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01116221,"about_ca_system_score_gemma":0.03226358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002002586,"about_ca_topic_score_gemma":0.001826142,"domain_scores_codex":[0.5001286,0.4283567,0.03863953,0.01016191,0.02115193,0.001561351],"domain_scores_gemma":[0.241322,0.6551148,0.02678783,0.04476749,0.02844732,0.003560698],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000798423,0.0001230709,0.0005718292,0.1068998,0.005407104,0.0002086481,0.004388208,0.003430108,0.0004741317,0.4628092,0.1586867,0.2562028],"study_design_scores_gemma":[0.0004927835,0.0001223917,0.0003168257,0.06747787,0.001724786,0.0001380787,0.0007874906,0.002936763,0.0003463246,0.7500725,0.1753825,0.0002017827],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008981146,0.2827221,0.4245428,0.2300499,0.03491472,0.005793355,0.005949909,0.003992167,0.01113709],"genre_scores_gemma":[0.03388275,0.1414374,0.7354189,0.0382503,0.01661901,0.02873456,0.002360986,0.001050163,0.002245946],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5901799,"threshold_uncertainty_score":0.7277969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6640870687353834,"score_gpt":0.4737742899499758,"score_spread":0.1903127787854076,"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."}}