{"id":"W2564030404","doi":"","title":"A MULTILEVEL PERSPECTIVE ON IT AFFORDANCES","year":2016,"lang":"en","type":"article","venue":"European Conference on Information Systems","topic":"Information and Cyber Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Affordance; Perspective (graphical); Computer science; Human–computer interaction; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006154921,0.0006639045,0.0005250619,0.003235231,0.001869377,0.006336694,0.001007857,0.001381569,0.02210587],"category_scores_gemma":[0.002946733,0.0005349936,0.0009197289,0.003813994,0.005479713,0.01490483,0.004513149,0.001929443,0.001106522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001902612,"about_ca_system_score_gemma":0.0008793653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024719,"about_ca_topic_score_gemma":0.009157244,"domain_scores_codex":[0.9990135,0.0003144256,0.00005978463,0.0002227775,0.0002181725,0.0001712412],"domain_scores_gemma":[0.9982628,0.0006153975,0.0002586922,0.0003149687,0.0002302658,0.0003178329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001020779,0.000008702239,0.0007391804,0.00003795758,0.00001185044,0.00005318621,0.0008954228,0.00138763,0.0002996229,0.9899964,0.0004462814,0.006113457],"study_design_scores_gemma":[0.000006880449,0.00002609653,0.00190092,0.00009562953,0.00002122629,0.0001251621,0.001878196,0.006051173,0.0001767354,0.9704587,0.01924646,0.00001276921],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1561326,0.004075037,0.3839239,0.01333888,0.0001876857,0.00005821283,0.0008215837,0.0002256238,0.4412365],"genre_scores_gemma":[0.9579868,0.001108639,0.03282398,0.0001650111,0.0000784331,0.00005461349,0.0001915324,0.00007073026,0.007520285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02210587,"threshold_uncertainty_score":0.07395148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03623776041578033,"score_gpt":0.2609716097307945,"score_spread":0.2247338493150141,"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."}}