{"id":"W2584462177","doi":"10.1109/icdmw.2016.0052","title":"Smart Phone User Behaviour Characterization Based on Autoencoders and Self Organizing Maps","year":2016,"lang":"en","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Autoencoder; Computer science; Cluster analysis; Representation (politics); Constraint (computer-aided design); Class (philosophy); Construct (python library); Set (abstract data type); Artificial intelligence; Machine learning; Phone; Data mining; Identification (biology); Self-organizing map; Artificial neural network","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":[0.0005141402,0.0004031895,0.0003558582,0.0009272736,0.0001719558,0.0004662625,0.0004596285,0.0004042184,0.0004702315],"category_scores_gemma":[0.002425505,0.0002415833,0.0004458272,0.0006026254,0.0004538097,0.0007947736,0.0003864254,0.0006211503,0.0001809434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005736388,"about_ca_system_score_gemma":0.0003495074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008534431,"about_ca_topic_score_gemma":0.009230539,"domain_scores_codex":[0.9996417,0.0001213923,0.0000190065,0.0001129803,0.00006437401,0.00004068355],"domain_scores_gemma":[0.9990965,0.0005040465,0.0001223869,0.0001084511,0.0001325611,0.00003595539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001949313,0.0002101576,0.0279008,0.00007641375,0.0001826441,0.0001443274,0.0005881931,0.7469627,0.009792375,0.006618675,0.001118169,0.2062106],"study_design_scores_gemma":[7.145637e-7,0.00001083065,0.003263086,0.000002681523,0.000003052077,0.00001711414,0.00002186804,0.9947739,0.0005647595,0.001260347,0.00007695385,0.000004661973],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3350857,0.0001377988,0.6622477,0.0002168926,0.00001931164,0.00005276762,0.0002458348,0.0006344164,0.001359702],"genre_scores_gemma":[0.9537916,0.00006178564,0.04507582,0.00002690236,0.00001325853,0.00003752717,0.000250036,0.00002496849,0.0007181125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008534431,"threshold_uncertainty_score":0.0169695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086548158157082,"score_gpt":0.2447720882210596,"score_spread":0.2339066066394888,"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."}}