{"id":"W7096278947","doi":"","title":"Text Word Count: 1,983 Tables: 2","year":2016,"lang":"en","type":"article","venue":"","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Word (group theory); State (computer science); Context (archaeology); MEDLINE","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006013931,0.00383113,0.009794354,0.02086461,0.001853389,0.007813988,0.005658213,0.003718787,0.8437262],"category_scores_gemma":[0.1143775,0.002139411,0.005703719,0.02411102,0.001642762,0.006210608,0.002850845,0.002552733,0.3058734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003571452,"about_ca_system_score_gemma":0.006527933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003922745,"about_ca_topic_score_gemma":0.004298884,"domain_scores_codex":[0.9878191,0.002471253,0.005120082,0.001385259,0.00274338,0.0004609915],"domain_scores_gemma":[0.9376624,0.03958689,0.007597715,0.002083369,0.01221281,0.0008569304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005786491,0.00006024356,0.0003687273,0.2312578,0.0005745278,0.0001359995,0.00008800347,0.0004440898,0.0001904448,0.001596353,0.7416265,0.02307867],"study_design_scores_gemma":[0.004295844,0.0002515857,0.003631186,0.2027144,0.00168222,0.0003067201,0.0002645307,0.001309629,0.0004765302,0.01349634,0.7713344,0.0002365524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001150231,0.01426664,0.003507462,0.0106377,0.02359658,0.01984305,0.8661992,0.002629166,0.05816996],"genre_scores_gemma":[0.04983788,0.04964037,0.02405074,0.02423725,0.02585294,0.1830734,0.3758236,0.005761172,0.2617226],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1562738,"threshold_uncertainty_score":0.2229056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7199348828205748,"score_gpt":0.5139922950057545,"score_spread":0.2059425878148203,"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."}}