{"id":"W2298580697","doi":"10.5206/tjr.2016.1.4.5","title":"Accessible and Interactive","year":2016,"lang":"en","type":"article","venue":"Transitional justice review","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Visualization; Data science; Data visualization; Information visualization; Geovisualization; Graphics; Data mining; Information retrieval; Computer graphics (images)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002260762,0.00008506667,0.0001745748,0.00004316177,0.00005012919,0.00004397356,0.0003509036,0.00001540326,0.0002616573],"category_scores_gemma":[0.0000591583,0.00005150647,0.0000504524,0.0002236659,0.00003595477,0.001100864,0.00005910216,0.00004467435,0.0002488363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001774237,"about_ca_system_score_gemma":0.00003932918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002656451,"about_ca_topic_score_gemma":0.000002950545,"domain_scores_codex":[0.9991891,0.00006809102,0.0001754498,0.0002579318,0.0001909508,0.0001184954],"domain_scores_gemma":[0.9993003,0.0002279264,0.00005362822,0.0002606492,0.00008119486,0.00007627697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007432848,0.0000759252,0.00004146315,0.003176539,0.00008914447,0.00003713914,0.00008752288,9.401666e-7,0.0008143385,0.1965079,0.009635004,0.7895266],"study_design_scores_gemma":[0.00360186,0.000316694,0.01921465,0.07126966,0.005592686,0.001314797,0.00006320248,0.005407603,0.001668083,0.03588845,0.8530046,0.002657675],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0000973602,0.03133315,0.9472119,0.01920882,0.0000827748,0.0001266358,0.00002728564,0.00005980306,0.001852307],"genre_scores_gemma":[0.3377325,0.5184977,0.1047126,0.03724061,0.0003643719,0.0001513532,0.00005284075,0.00003338624,0.001214697],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8433697,"threshold_uncertainty_score":0.3198371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870410942815201,"score_gpt":0.3023357617347819,"score_spread":0.2836316523066299,"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."}}