{"id":"W2607712245","doi":"10.22044/jadm.2017.889","title":"A New Ontology-Based Approach for Human Activity Recognition from GPS Data","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Ontology; Computer science; Variety (cybernetics); Global Positioning System; Data science; The Internet; Trajectory; World Wide Web; Data mining; Information retrieval; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003505637,0.0002246277,0.0006657144,0.0003289028,0.003056958,0.002808111,0.006469943,0.0002056351,0.009171857],"category_scores_gemma":[0.001861863,0.0002265877,0.0002285951,0.0002893179,0.0004406747,0.00347603,0.0005694547,0.0003208897,0.00001276231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001470233,"about_ca_system_score_gemma":0.0007765821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2052656,"about_ca_topic_score_gemma":0.07117601,"domain_scores_codex":[0.9972205,0.0005238852,0.0005319296,0.0007217362,0.000624277,0.0003777441],"domain_scores_gemma":[0.9957935,0.0006483042,0.001268478,0.001593428,0.0003659522,0.0003304001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006585895,0.001609836,0.3367175,0.0001484261,0.0008457726,0.000008313089,0.001986549,0.0002152772,0.02130043,0.000666452,0.06905715,0.5667858],"study_design_scores_gemma":[0.00278752,0.00003287223,0.808844,0.0004011905,0.001062239,4.860502e-7,0.0009145973,0.004862769,0.008910222,0.1368938,0.03402295,0.00126733],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7443217,0.001851781,0.2274374,0.002003705,0.0006597976,0.002093212,0.001113815,0.0001106507,0.0204079],"genre_scores_gemma":[0.9949757,0.0003049938,0.002945437,0.0001853633,0.0006644079,0.00006563208,0.0004775634,0.00002397582,0.0003569372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5655184,"threshold_uncertainty_score":0.9989055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6195809526372736,"score_gpt":0.6275314960923204,"score_spread":0.007950543455046755,"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."}}