{"id":"W7118189027","doi":"10.1145/3765766.3787119","title":"10.1145/3765766.3787119","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); MEDLINE; Component (thermodynamics); Session key","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00431711,0.002211881,0.002742979,0.008994324,0.001319333,0.006433123,0.002447227,0.003789155,0.9287816],"category_scores_gemma":[0.0124994,0.002407913,0.001915768,0.02041943,0.001287086,0.00810436,0.0045442,0.002665282,0.9294942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002266217,"about_ca_system_score_gemma":0.002021915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01081703,"about_ca_topic_score_gemma":0.007212567,"domain_scores_codex":[0.9986911,0.000284554,0.0001959802,0.0002799563,0.0004629316,0.00008549542],"domain_scores_gemma":[0.9940334,0.003649397,0.0003380706,0.0006657445,0.0009412336,0.0003721231],"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":[0.0001496794,0.00008638391,0.0003239801,0.003294617,0.0001843159,0.00009036609,0.0001106018,0.0007410896,0.0003594592,0.006034717,0.6374182,0.3512066],"study_design_scores_gemma":[0.0001101055,0.00003276736,0.0009070067,0.001615337,0.0001376524,0.0001155013,0.00004362593,0.0004458971,0.0001754375,0.002922646,0.9934478,0.00004627902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001785171,0.04541663,0.0167972,0.008239791,0.006478521,0.0008240322,0.07235991,0.007662833,0.8404359],"genre_scores_gemma":[0.00683685,0.02674278,0.01261353,0.003545499,0.001365881,0.001472389,0.0407429,0.002684272,0.9039959],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07121837,"threshold_uncertainty_score":0.1015843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5452522514085631,"score_gpt":0.4407295373397781,"score_spread":0.104522714068785,"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."}}