{"id":"W2765974701","doi":"10.5703/1288284316433","title":"Collection Dashboards for Selectors","year":2017,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Computer science; Visualization; Visual analytics; Analytics; Data science; Parsing; Data visualization; Selection (genetic algorithm); Data collection; Cultural analytics; Information visualization; World Wide Web; Data mining; Artificial intelligence; The Internet; Semantic analytics","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":[0.009572216,0.002657405,0.001227115,0.006405284,0.002972974,0.01122576,0.002570176,0.001190808,0.04892692],"category_scores_gemma":[0.03706027,0.001198749,0.000954729,0.007155498,0.001152388,0.01267094,0.007209016,0.003628856,0.01392151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592081,"about_ca_system_score_gemma":0.002878965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00849576,"about_ca_topic_score_gemma":0.009133778,"domain_scores_codex":[0.9944988,0.001624872,0.0006730472,0.0009035211,0.001825823,0.0004739956],"domain_scores_gemma":[0.9592749,0.01237586,0.00315476,0.01261822,0.007668195,0.004908059],"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":[0.001721204,0.0006579269,0.01350324,0.000899955,0.0001445326,0.0007139056,0.008409775,0.006701737,0.006787033,0.02575981,0.4849372,0.4497637],"study_design_scores_gemma":[0.0002155823,0.0002347813,0.009326724,0.0006367055,0.00007148078,0.0001294021,0.003176436,0.01960153,0.009062381,0.01934381,0.9378945,0.0003067697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.04869428,0.001581092,0.3196372,0.01055992,0.002862278,0.002770413,0.03765487,0.4462971,0.1299429],"genre_scores_gemma":[0.3490043,0.00343051,0.4568127,0.002577061,0.001777215,0.003420581,0.05279218,0.04691776,0.08326767],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.04892692,"threshold_uncertainty_score":0.1636769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03857931778285014,"score_gpt":0.3484079909692441,"score_spread":0.309828673186394,"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."}}