{"id":"W3026150339","doi":"","title":"Guides: PLAI 500 - Uncovering Secrets: A Detective’s Toolkit to Discovering Montreal: Web-based Tools for Visualization, Mapping and Text Analysis","year":2019,"lang":"en","type":"libguides","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Visualization; World Wide Web; Computer science; Information retrieval; Data science; Data mining","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":[0.003037918,0.001964431,0.001143679,0.006318327,0.00162853,0.00687361,0.002242502,0.00164694,0.1730311],"category_scores_gemma":[0.01256918,0.001665546,0.001161232,0.004562216,0.001115744,0.006350119,0.005417858,0.002295816,0.1032013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001981,"about_ca_system_score_gemma":0.003616058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02279805,"about_ca_topic_score_gemma":0.03818656,"domain_scores_codex":[0.9984077,0.0003402748,0.0001256841,0.0002471322,0.000757909,0.0001213708],"domain_scores_gemma":[0.9949442,0.00250504,0.0001867458,0.0009140587,0.00109873,0.0003512904],"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":[0.000130492,0.00005474913,0.0009259744,0.0006616151,0.00004425162,0.0002055794,0.002105626,0.0006269969,0.001932513,0.01590019,0.8275607,0.1498513],"study_design_scores_gemma":[0.00005631372,0.00002719837,0.001164529,0.0002260222,0.00002883587,0.000230607,0.0004757195,0.007671707,0.004851809,0.01222362,0.972963,0.00008054706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.002688874,0.0006374387,0.2391038,0.001271778,0.0003554407,0.000546495,0.09185978,0.5619971,0.1015394],"genre_scores_gemma":[0.02339885,0.00123211,0.4590072,0.0006178351,0.0001421461,0.001592715,0.1252896,0.1636358,0.2250836],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1730311,"threshold_uncertainty_score":0.5788466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03040120402691537,"score_gpt":0.3088080644032409,"score_spread":0.2784068603763256,"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."}}