{"id":"W2968931659","doi":"","title":"An event-driven approach to spatio-temporal mapping","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Computer science; Geography; Space (punctuation); Cartography; Data science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000226095,0.0001014595,0.0001262282,0.0001111763,0.0000568316,0.0002900189,0.00113178,0.00002312055,0.0000567815],"category_scores_gemma":[0.000007270669,0.00009320017,0.00003157614,0.000326309,0.000008084914,0.0008860554,0.0003668235,0.00004973088,0.00164227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001613107,"about_ca_system_score_gemma":0.00001551622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002325277,"about_ca_topic_score_gemma":0.000002349624,"domain_scores_codex":[0.9989422,0.00003519106,0.0001699326,0.0003466917,0.0002535768,0.0002524356],"domain_scores_gemma":[0.9989448,0.00001199842,0.0000481813,0.0008639393,0.00002291881,0.0001081148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001539669,0.001513561,0.03447075,0.0005931677,0.0001958553,0.0000400692,0.01104257,0.01419563,0.0007672725,0.5498376,0.06231269,0.3250155],"study_design_scores_gemma":[0.0001966971,0.00007605524,0.008298303,0.00002129111,0.000003101741,0.000002214126,0.0001265,0.9658121,0.00003311565,0.001483578,0.02373304,0.0002139341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05740134,0.000003848347,0.9251828,0.0004681858,0.0002341395,0.0003780146,0.00000358599,0.0001826708,0.0161454],"genre_scores_gemma":[0.6214887,4.126184e-7,0.3768491,0.0004117327,0.00006074966,0.00001970263,0.0000621189,0.000007232927,0.001100183],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9516165,"threshold_uncertainty_score":0.9991351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732610312820022,"score_gpt":0.2392606947125097,"score_spread":0.2219345915843094,"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."}}