{"id":"W2011442237","doi":"10.1017/s1551929510991177","title":"Impact Factor, My Donkey!","year":2010,"lang":"en","type":"article","venue":"Microscopy Today","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Donkey; Statistic; Phenomenon; Impact factor; Publishing; Factor (programming language); Scientific publishing; Statistics; Mathematics; Library science; History; Computer science; Epistemology; Political science; Philosophy; Law; Archaeology","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","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01192929,0.001724246,0.002104899,0.005380455,0.003109919,0.01457386,0.002005073,0.004908423,0.05814128],"category_scores_gemma":[0.1032918,0.000788178,0.001029942,0.008097375,0.008862752,0.01832177,0.00424863,0.01297605,0.05542949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003118748,"about_ca_system_score_gemma":0.003563054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002434794,"about_ca_topic_score_gemma":0.002106422,"domain_scores_codex":[0.9897765,0.002079331,0.0008870348,0.001155258,0.005593752,0.0005081788],"domain_scores_gemma":[0.9561441,0.01385814,0.003348583,0.003943816,0.01790843,0.004797022],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007065421,0.00001930544,0.0007952739,0.0003712878,0.00004109293,0.0000539377,0.0001195163,0.0000665542,0.0001659806,0.0340612,0.8681556,0.09607958],"study_design_scores_gemma":[0.00002525847,0.00005487242,0.001233493,0.0007820161,0.00003986134,0.0002816836,0.0002583427,0.0001184564,0.0002752219,0.0692721,0.9275981,0.0000606411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001358094,0.0687667,0.01109207,0.6521874,0.1809519,0.00007307774,0.002438343,0.002314721,0.08081775],"genre_scores_gemma":[0.08239825,0.1509835,0.02997576,0.2975782,0.2190698,0.0005289171,0.003092669,0.004788265,0.2115846],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9946195,"threshold_uncertainty_score":0.1945019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4094731391342617,"score_gpt":0.6032809874793786,"score_spread":0.1938078483451169,"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."}}