{"id":"W7115814438","doi":"","title":"GIS-based Episode Reconstruction Using GPS Data","year":2014,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Global Positioning System; Suite; USable; Focus (optics); Process (computing); TRIPS architecture; Preprocessor; Information system","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005843739,0.0008265573,0.0006465908,0.003667644,0.0004408104,0.001967768,0.00138668,0.000767299,0.00743159],"category_scores_gemma":[0.005897554,0.0006811753,0.001410848,0.004439171,0.0003424692,0.001685411,0.001992459,0.001282895,0.00466876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000902687,"about_ca_system_score_gemma":0.001400588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02563498,"about_ca_topic_score_gemma":0.02694434,"domain_scores_codex":[0.9993418,0.0001196507,0.00005838421,0.0002181895,0.0001904371,0.00007153533],"domain_scores_gemma":[0.9986637,0.0004457025,0.0001085897,0.0003350666,0.0003933495,0.00005361492],"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":[0.0003243176,0.0001515428,0.04399703,0.0008304323,0.0002408423,0.0008931867,0.002483982,0.4312207,0.004361981,0.03239983,0.04010186,0.4429942],"study_design_scores_gemma":[0.00003985806,0.00003747927,0.009212301,0.0001191477,0.00005259438,0.0001685532,0.001603283,0.9160866,0.003673009,0.0283169,0.04062859,0.00006157708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06406954,0.0003638768,0.8842149,0.0005131757,0.0001507663,0.0004085831,0.02660001,0.01449427,0.009184918],"genre_scores_gemma":[0.3046697,0.0005721257,0.648135,0.00006291988,0.00004709812,0.0003424519,0.04034473,0.00091067,0.004915285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02563498,"threshold_uncertainty_score":0.05097151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196653653690427,"score_gpt":0.2119384570489757,"score_spread":0.192273091679933,"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."}}