{"id":"W4231021653","doi":"10.1190/tle35070624.1","title":"Reviews","year":2016,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Manitoba","funders":"","keywords":"Library science; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001183678,0.001176768,0.001287423,0.003085799,0.0008933954,0.004408951,0.00265364,0.002876131,0.2485387],"category_scores_gemma":[0.005855157,0.0004398167,0.0007624849,0.002849025,0.0009682153,0.003612405,0.002262356,0.002688372,0.2175858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002093731,"about_ca_system_score_gemma":0.004418636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002567359,"about_ca_topic_score_gemma":0.003346635,"domain_scores_codex":[0.9984688,0.0002209235,0.0001360965,0.000312662,0.000719689,0.0001419027],"domain_scores_gemma":[0.9974406,0.0005918971,0.0001855243,0.0002801173,0.001107364,0.0003945595],"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":[0.00002711419,0.00002107811,0.00008853756,0.001241572,0.0000129333,0.00008247125,0.00006940432,0.00005608935,0.0001766,0.005333267,0.8157468,0.1771441],"study_design_scores_gemma":[0.000002119769,0.000003771404,0.00006211732,0.0002935061,0.000002935683,0.00009711656,0.00001665954,0.000003635093,0.00001880683,0.0006221379,0.9988751,0.0000020983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000511248,0.576774,0.00204308,0.03686462,0.05392236,0.0001483657,0.003025247,0.0008208003,0.3258902],"genre_scores_gemma":[0.005750895,0.5281163,0.002460157,0.02659681,0.02829583,0.0002303469,0.005340913,0.0006111835,0.4025976],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2485387,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0631424155328926,"score_gpt":0.2888578354612247,"score_spread":0.2257154199283321,"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."}}