{"id":"W7057131653","doi":"","title":"Interactive visualization tools for spatial data & metadata","year":2000,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visualization; Data visualization; Quality (philosophy); Feature (linguistics); Focus (optics); Frame (networking)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007026616,0.0000289523,0.000123449,0.00001677052,0.00009664983,0.0001569891,0.0003893508,0.00004734561,0.0004243296],"category_scores_gemma":[0.00001766399,0.0001079891,0.00003658512,0.0001265159,0.00004339742,0.001281239,0.00005342459,0.00004621883,0.00004065181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002974925,"about_ca_system_score_gemma":0.00001788009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02079571,"about_ca_topic_score_gemma":0.143035,"domain_scores_codex":[0.9994963,0.00001296837,0.00007865405,0.0002149738,0.00008245382,0.0001146621],"domain_scores_gemma":[0.9994075,0.00005931585,0.00002552058,0.0004049354,0.00005389199,0.00004885665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00000841079,0.00005679411,0.00007712327,0.00004629876,0.00006548175,0.000002798001,0.00008597707,0.0002370943,0.0006081312,0.000005017479,0.04970471,0.9491022],"study_design_scores_gemma":[0.002377003,0.00006547677,0.5453861,0.0001719462,0.0002700986,0.00003324061,0.0005923409,0.1050997,0.00003197347,0.0006397873,0.3446719,0.0006603603],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6070831,0.00005648238,0.3855876,0.00003935719,0.00008318597,0.0004732514,0.004408725,0.0002057805,0.002062477],"genre_scores_gemma":[0.992886,0.0001258912,0.002643419,0.0000171242,0.00003768072,0.000001708953,0.002123371,0.00001574219,0.002149071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9484418,"threshold_uncertainty_score":0.9857249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02912512795278683,"score_gpt":0.2228523933222105,"score_spread":0.1937272653694237,"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."}}