{"id":"W2013566168","doi":"10.1145/1125451.1125566","title":"SMOKS","year":2006,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Affordance; Artifact (error); Computer science; Human–computer interaction; Clothing; Overlay; Multimedia; Artificial intelligence","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":[0.0000475697,0.00003770842,0.00003273913,0.0000866495,0.00004197599,0.00003431235,0.0002818966,0.00003236188,0.00007158618],"category_scores_gemma":[0.000005014903,0.00003266888,0.00001169691,0.0002013643,0.00002164763,0.0002581394,0.00006904655,0.00007075072,0.0003548801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002138182,"about_ca_system_score_gemma":0.000006653363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004819296,"about_ca_topic_score_gemma":0.00001781078,"domain_scores_codex":[0.999649,0.000006338884,0.00007538541,0.0001197757,0.00005808977,0.00009142336],"domain_scores_gemma":[0.9996938,0.00001100458,0.00002391459,0.0002134425,0.00005368336,0.000004170535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[1.912635e-7,0.00001170742,0.000279846,2.766062e-7,0.000001114727,0.000003179027,0.000007292228,0.000001576929,0.003877548,0.9790116,0.01206534,0.004740348],"study_design_scores_gemma":[0.0002993919,0.00008718348,0.02974093,0.000005574709,0.000001498119,0.00007742262,0.00001956578,0.01288372,0.4438447,0.3697346,0.1430276,0.0002777798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04638341,0.000003383926,0.6909586,0.001411837,0.0002330553,0.00002687044,5.44255e-8,0.0004212095,0.2605616],"genre_scores_gemma":[0.9620097,7.606607e-8,0.03121635,0.0003772604,0.00003458668,0.000003842089,5.152765e-7,0.000001768048,0.006355889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9156263,"threshold_uncertainty_score":0.4561384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006853921485541041,"score_gpt":0.2240635789019566,"score_spread":0.2172096574164155,"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."}}