{"id":"W4367840253","doi":"10.36227/techrxiv.22724117.v1","title":"Data-Centric Content Classification of Smart City Residential Services","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Context (archaeology); Metropolitan area; Service (business); Process (computing); Task (project management); Embedding; Segmentation; Data science; Artificial intelligence; Business; Geography; Engineering","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":[0.0008883884,0.0006777886,0.0006188874,0.002194152,0.0005385551,0.001053529,0.0008458142,0.0008702692,0.001025198],"category_scores_gemma":[0.004198185,0.000176789,0.0008641861,0.001726274,0.000370914,0.002061212,0.0007507713,0.0008823125,0.001038402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724634,"about_ca_system_score_gemma":0.0007695774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01834742,"about_ca_topic_score_gemma":0.01386789,"domain_scores_codex":[0.9992791,0.000187974,0.00005912643,0.0002085829,0.0001313923,0.0001338469],"domain_scores_gemma":[0.9978161,0.001072472,0.0001456957,0.0003342779,0.0004811773,0.0001503258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002417722,0.001572338,0.1095561,0.0003720334,0.0002302133,0.0004875418,0.001147442,0.1523606,0.02863245,0.005494587,0.01674574,0.6809832],"study_design_scores_gemma":[0.000009149388,0.00006379087,0.007986288,0.000008886237,0.00001873827,0.00004139341,0.0002618643,0.9821355,0.006628295,0.001367691,0.001467152,0.00001126659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9158939,0.0003693901,0.0736835,0.0007985577,0.0001687252,0.0002294921,0.00309731,0.003567424,0.002191792],"genre_scores_gemma":[0.9599801,0.000112856,0.03289353,0.00005237895,0.00004932532,0.00008707985,0.005122741,0.00006694841,0.001635008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01834742,"threshold_uncertainty_score":0.03648126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2592285223210208,"score_gpt":0.3829184989199653,"score_spread":0.1236899765989444,"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."}}