{"id":"W4300495476","doi":"10.1109/compsac54236.2022.00266","title":"A Data Science Solution for Mining Weather Data and Transportation Data for Smart Cities","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Snow; Computer science; Data science; Big data; Smart city; Software; Meteorology; Data mining; Computer security; Internet of Things; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001879895,0.000924025,0.0008018108,0.002629647,0.001564271,0.002790609,0.002059907,0.002363942,0.005949163],"category_scores_gemma":[0.00690342,0.0007238187,0.001699079,0.003852907,0.0005905519,0.004113516,0.002950286,0.002370707,0.002988859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009355275,"about_ca_system_score_gemma":0.003208169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005797357,"about_ca_topic_score_gemma":0.01076484,"domain_scores_codex":[0.9986017,0.000186292,0.0001746387,0.0003345073,0.0005968359,0.0001060013],"domain_scores_gemma":[0.9974819,0.000632754,0.000186928,0.0006082716,0.0008466531,0.0002435258],"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":[0.000488153,0.0009174768,0.01387358,0.0008982155,0.0004814459,0.001342192,0.00146028,0.09316803,0.01884252,0.09054705,0.1957155,0.5822656],"study_design_scores_gemma":[0.0002377887,0.0001401419,0.002509351,0.0001345338,0.000117076,0.0004482006,0.00123147,0.6330754,0.01509007,0.1409152,0.205994,0.0001068125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01497531,0.0003385046,0.9410977,0.007786014,0.0003595272,0.0005585736,0.007303243,0.01903569,0.008545544],"genre_scores_gemma":[0.07222523,0.0003662531,0.9122417,0.000812567,0.0001270955,0.0004080771,0.009864962,0.0004345502,0.003519608],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005949163,"threshold_uncertainty_score":0.01990193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08830481576105496,"score_gpt":0.3268774279990724,"score_spread":0.2385726122380174,"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."}}