{"id":"W2038881214","doi":"10.3138/carto.46.4.227","title":"Development of an Open-Source Toolbox for the Analysis and Visualization of Remotely Sensed Time Series","year":2011,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Toolbox; Visualization; Slicing; Animation; Human–computer interaction; Data visualization; Construct (python library); Data mining; Data science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002342612,0.002117814,0.001151804,0.00319153,0.0004829839,0.002125667,0.003416091,0.001027588,0.03442859],"category_scores_gemma":[0.008326923,0.00114657,0.001704654,0.001739795,0.0005871878,0.002771277,0.003072008,0.002100786,0.01781455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004255173,"about_ca_system_score_gemma":0.001276004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001730443,"about_ca_topic_score_gemma":0.001790731,"domain_scores_codex":[0.9990209,0.0001408525,0.0001209509,0.000202433,0.0004281373,0.00008667417],"domain_scores_gemma":[0.9959413,0.001742647,0.0002236214,0.0007253746,0.0009977403,0.0003692914],"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":[0.0009427436,0.000637777,0.004299294,0.00299647,0.0004321423,0.002343407,0.00181088,0.03208743,0.07855164,0.01959014,0.1662056,0.6901025],"study_design_scores_gemma":[0.0005894333,0.0003383101,0.007584891,0.0008324059,0.0001583418,0.00247627,0.0003054725,0.3626022,0.09587768,0.02773567,0.5010265,0.0004727728],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002453848,0.0001410156,0.7823568,0.0001097919,0.0000930776,0.0003003891,0.003653824,0.2079841,0.002907288],"genre_scores_gemma":[0.03326262,0.0006029024,0.8858175,0.0001748916,0.0000926747,0.001477824,0.02021224,0.04720156,0.01115767],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03442859,"threshold_uncertainty_score":0.1151751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350784943846894,"score_gpt":0.295676904313026,"score_spread":0.272169054874557,"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."}}