{"id":"W2460197302","doi":"10.1145/2948649.2948655","title":"Dynamically ranked top-k spatial keyword search","year":2016,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation","keywords":"Popularity; Computer science; Information retrieval; Relevance (law); Keyword search; Keyword density; World Wide Web; Volume (thermodynamics); Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001366716,0.001233973,0.002555049,0.004861185,0.001629092,0.002873376,0.002706228,0.001439608,0.006953087],"category_scores_gemma":[0.009848977,0.0007176429,0.000959666,0.006331141,0.0005620396,0.004039641,0.001871156,0.000609478,0.004595179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321167,"about_ca_system_score_gemma":0.003481169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00838345,"about_ca_topic_score_gemma":0.02749755,"domain_scores_codex":[0.9973843,0.0005178154,0.0003238945,0.0004452598,0.0008974261,0.000431308],"domain_scores_gemma":[0.995181,0.002021753,0.0003842119,0.0006460032,0.00140056,0.0003664001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004661128,0.001218598,0.02494783,0.002192244,0.0005005476,0.001169335,0.0008699878,0.1102641,0.03404712,0.01468657,0.05808116,0.7473615],"study_design_scores_gemma":[0.0002893203,0.0006005041,0.00440527,0.0001264375,0.0003834718,0.001874571,0.001324462,0.9189555,0.0208208,0.03500871,0.01607912,0.0001317644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4334002,0.01343433,0.505457,0.001915067,0.0008119033,0.0008118843,0.008757203,0.01068087,0.02473157],"genre_scores_gemma":[0.6542168,0.001635929,0.3251849,0.0003189454,0.0002569524,0.0001977107,0.007801092,0.0005074092,0.009880346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00838345,"threshold_uncertainty_score":0.02326041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141683150396378,"score_gpt":0.2333073001046282,"score_spread":0.2218904686006644,"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."}}