{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004932682,0.00007292339,0.00008961419,0.00008338817,0.0004091762,0.00006900181,0.0000834876,0.00005573147,0.002174881],"category_scores_gemma":[0.0001113937,0.00005345001,0.00003059709,0.0002345,0.00009697569,0.0001773386,0.000009110857,0.00003737989,0.0001277311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009646001,"about_ca_system_score_gemma":0.0001255247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001650262,"about_ca_topic_score_gemma":0.004172001,"domain_scores_codex":[0.9991308,0.0001421064,0.0001294616,0.0002105333,0.0002268083,0.0001603297],"domain_scores_gemma":[0.9995196,0.0001174465,0.00004741273,0.0001385172,0.0000837777,0.00009326541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004288727,0.001049171,0.9038221,0.00003479884,0.00007336205,0.000007150064,0.01905765,0.00004485351,0.02204092,0.01575267,0.001805995,0.03626846],"study_design_scores_gemma":[0.002417931,0.0002286677,0.8866091,0.0001880513,0.0002849617,5.821274e-7,0.006482489,0.00905727,0.009174162,0.0008818912,0.08346874,0.001206195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9427429,0.000002988696,0.04124314,0.01049294,0.0001212478,0.0002213904,0.00001529519,0.0002944623,0.004865614],"genre_scores_gemma":[0.9950818,0.00001637471,0.0003024196,0.0006795319,0.00006668182,0.00000837576,0.00002047527,0.000007666407,0.003816647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08166274,"threshold_uncertainty_score":0.9987373,"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."}}