{"id":"W4406082246","doi":"10.1177/036063251904901011","title":"Cleaning out the Clutter","year":2019,"lang":"en","type":"article","venue":"Lighting Design + Application","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clutter; Computer science; Environmental science; Radar; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.003623945,0.002001607,0.001290616,0.004073425,0.01010218,0.01502559,0.002264331,0.002969989,0.07185394],"category_scores_gemma":[0.02080848,0.001232336,0.001349545,0.004120494,0.004707709,0.01229089,0.007825138,0.005277072,0.06130046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003393811,"about_ca_system_score_gemma":0.008524327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0508428,"about_ca_topic_score_gemma":0.07908347,"domain_scores_codex":[0.9958267,0.0006962187,0.000198802,0.0004949245,0.002187916,0.0005954776],"domain_scores_gemma":[0.9831904,0.002482772,0.0004794127,0.00318933,0.008990956,0.001667223],"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":[0.0001494468,0.000139509,0.002743854,0.0005634673,0.00004555651,0.0006880661,0.01054075,0.000531889,0.007893398,0.01967287,0.6795174,0.2775137],"study_design_scores_gemma":[0.00001549344,0.0000250644,0.00172088,0.0002529081,0.0000373524,0.0006959183,0.005871291,0.0004805147,0.003641868,0.009405088,0.9777884,0.00006511101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04670469,0.01213033,0.2544987,0.08030023,0.02043812,0.0006506822,0.002538434,0.0414161,0.5413228],"genre_scores_gemma":[0.1435266,0.009352673,0.2396296,0.04503853,0.004270294,0.0003541326,0.003081958,0.03031572,0.5244306],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07185394,"threshold_uncertainty_score":0.2403753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296421113207811,"score_gpt":0.2001513675258583,"score_spread":0.1871871563937802,"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."}}