{"id":"W2562384126","doi":"10.5539/emr.v6n1p1","title":"Systematics of Deliveries to Increase Postgraduate Courses Scientific Productivity","year":2016,"lang":"en","type":"article","venue":"Engineering Management Research","topic":"Educational Research and Science Teaching","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Subject (documents); Medical education; Structuring; Mathematics education; Systematics; Engineering; Engineering management; Engineering ethics; Psychology; Computer science; Library science; Medicine; Political science; Biology; Taxonomy (biology); Ecology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02047985,0.000831367,0.0006767742,0.005030251,0.001253804,0.002487353,0.001760751,0.0008480355,0.004576453],"category_scores_gemma":[0.08816743,0.0005933329,0.0005171189,0.002172988,0.000682051,0.002672211,0.003906363,0.001015925,0.001344793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800707,"about_ca_system_score_gemma":0.00922065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007888126,"about_ca_topic_score_gemma":0.001501353,"domain_scores_codex":[0.9800678,0.01180457,0.002348312,0.001442504,0.003720233,0.0006165266],"domain_scores_gemma":[0.8760294,0.0698889,0.01910623,0.01299984,0.01662206,0.005353583],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005684676,0.001428247,0.03519427,0.002463105,0.00004428318,0.0003341486,0.01925385,0.00137784,0.01672912,0.003036325,0.008308,0.9112622],"study_design_scores_gemma":[0.0009083588,0.01284205,0.417818,0.006815307,0.0004544723,0.002654755,0.07253938,0.02553646,0.06689421,0.02551756,0.3672665,0.000752917],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5991055,0.001590727,0.3397616,0.004756302,0.0005707666,0.01235334,0.001315367,0.008011883,0.03253451],"genre_scores_gemma":[0.5607781,0.0008814514,0.4254315,0.0004496691,0.0001368865,0.003914515,0.000852276,0.0003023781,0.007253226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9795201,"threshold_uncertainty_score":0.108309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07420743256033578,"score_gpt":0.3256662190473887,"score_spread":0.2514587864870529,"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."}}