{"id":"W2804556696","doi":"10.1145/3208159.3208187","title":"Machine Learning for Social Behavior Understanding","year":2018,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Biometrics; Set (abstract data type); Behavioral pattern; Behavioural sciences; Human behavior; Cognition; Social learning; Social behavior; Social cue; Artificial intelligence; Human–computer interaction; Machine learning; Cognitive psychology; Psychology; Knowledge management","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":[],"consensus_categories":[],"category_scores_codex":[0.0001768879,0.00004618704,0.00005951333,0.0000429543,0.0003270252,0.0001272276,0.0002466389,0.00002745793,0.00004538747],"category_scores_gemma":[0.00001245304,0.00004136498,0.00003778311,0.0001048092,0.00002781297,0.0001392453,0.00005058675,0.00003752147,0.00005863938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003744219,"about_ca_system_score_gemma":0.00001362842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001368671,"about_ca_topic_score_gemma":0.00003087881,"domain_scores_codex":[0.9995087,0.0000231928,0.00009730834,0.0001435022,0.00009888909,0.0001284165],"domain_scores_gemma":[0.9997661,0.00002759725,0.00003354638,0.0000980387,0.0000435132,0.00003118053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000253198,0.00003753311,0.001806232,0.000007682205,0.00000769813,4.281983e-7,0.02878795,5.131451e-8,0.0004958541,0.9643134,0.001215612,0.003324977],"study_design_scores_gemma":[0.001028561,0.0003578472,0.002128111,0.000008859543,0.00001941785,0.00001153976,0.001034599,0.8965374,0.001491063,0.02481886,0.07219488,0.0003689237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005731937,0.000005656578,0.9883103,0.0009843264,0.0002863079,0.0001515726,6.374925e-7,0.0001873161,0.004341898],"genre_scores_gemma":[0.9951207,3.298822e-7,0.002356254,0.0001489381,0.0001305215,0.00001718341,0.000002060688,0.000004256372,0.002219747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9893888,"threshold_uncertainty_score":0.2515246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1109526807270203,"score_gpt":0.3207866074675492,"score_spread":0.2098339267405289,"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."}}