{"id":"W4400737280","doi":"10.1145/3678878","title":"Enabling Technologies and Techniques for Floor Identification","year":2024,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Impact","funders":"","keywords":"Computer science; Identification (biology); Data science","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":[0.001192493,0.001354433,0.0009650674,0.004590463,0.0005986773,0.002075893,0.001976225,0.001421846,0.01378496],"category_scores_gemma":[0.003506541,0.0006439092,0.001016562,0.004806237,0.0008982748,0.004051988,0.001831347,0.001508528,0.00855287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008903748,"about_ca_system_score_gemma":0.001544065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002582068,"about_ca_topic_score_gemma":0.00318817,"domain_scores_codex":[0.9984742,0.0002751797,0.00009516626,0.0001918807,0.0008361858,0.0001274136],"domain_scores_gemma":[0.9981055,0.0008328701,0.0001701596,0.0002265158,0.0006096137,0.00005529673],"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":[0.00003050813,0.00003866911,0.0004325017,0.004766372,0.00002584533,0.0001140197,0.0001096934,0.001282055,0.001872978,0.02590264,0.01712593,0.9482989],"study_design_scores_gemma":[0.000007315809,0.0001004639,0.001379429,0.003668072,0.00006836056,0.001026518,0.0002674539,0.001145905,0.002719432,0.0102067,0.9793508,0.00005966518],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001939478,0.876143,0.06536786,0.001860422,0.002161253,0.0001522872,0.0004127809,0.0005606145,0.05140234],"genre_scores_gemma":[0.02168475,0.9199039,0.03891468,0.0008290701,0.0009753603,0.0001616213,0.0005837333,0.00009069781,0.0168562],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01378496,"threshold_uncertainty_score":0.04611522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0449923320987422,"score_gpt":0.3235886375988765,"score_spread":0.2785963055001343,"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."}}