{"id":"W4297156394","doi":"10.1145/3546155.3546642","title":"PONI: A Personalized Onboarding Interface for Getting Inspiration and Learning About AR/VR Creation","year":2022,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Onboarding; Computer science; Human–computer interaction; Interface (matter); User interface; Multimedia; Psychology; Programming language; Operating system","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":[0.000613089,0.00007768707,0.0000909446,0.00008410728,0.0009749781,0.0001621209,0.000231304,0.00002137755,0.00002968715],"category_scores_gemma":[0.00008689448,0.00008372461,0.00003597233,0.0002304793,0.00002468957,0.0003108774,0.0002859979,0.0001723861,0.000003135689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001199022,"about_ca_system_score_gemma":0.00003576657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006332842,"about_ca_topic_score_gemma":0.000007478853,"domain_scores_codex":[0.9990858,0.0001057795,0.0001736595,0.0003068863,0.0001775481,0.0001503476],"domain_scores_gemma":[0.9994544,0.0001810372,0.0001167023,0.0001588962,0.00005029388,0.00003863512],"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":[0.00004426871,0.000134841,0.0008002776,0.00007379309,0.00007525554,0.000001101697,0.02267153,0.0495311,0.05265464,0.571883,0.000814812,0.3013153],"study_design_scores_gemma":[0.0005114974,0.0001132958,0.0005150648,0.0000101946,0.0000108193,0.00001284022,0.001784396,0.949073,0.001675479,0.001498232,0.04463768,0.0001574678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03317415,0.00009833702,0.9610502,0.002218743,0.00004805441,0.0003828015,0.000002396303,0.0002109224,0.00281443],"genre_scores_gemma":[0.9430985,0.000005753338,0.05397775,0.0003663346,0.0000313657,0.0003790791,0.00001945815,0.000009697138,0.002112048],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9099244,"threshold_uncertainty_score":0.7498842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033312095472266,"score_gpt":0.2895332906928927,"score_spread":0.2692001697381701,"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."}}