{"id":"W2006292554","doi":"10.1109/mprv.2014.47","title":"Fabricating Bendy: Design and Development of Deformable Prototypes","year":2014,"lang":"en","type":"article","venue":"IEEE Pervasive Computing","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Leverage (statistics); Process (computing); Fabrication; Set (abstract data type); User interface; 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":[0.002137598,0.0008182747,0.000473201,0.001031224,0.0005267014,0.001634788,0.002905747,0.001381268,0.005180342],"category_scores_gemma":[0.007636972,0.00103109,0.0007013619,0.0003850888,0.001231179,0.002524906,0.001910819,0.00103026,0.00116796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004942415,"about_ca_system_score_gemma":0.0005527299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004128776,"about_ca_topic_score_gemma":0.0004923996,"domain_scores_codex":[0.9982551,0.0002980924,0.0001529583,0.0002975235,0.0008470762,0.0001493866],"domain_scores_gemma":[0.9970629,0.0009767335,0.0003038459,0.0006253735,0.0007925032,0.0002387094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003691121,0.000415236,0.002172706,0.002014903,0.00007661158,0.001770619,0.00425038,0.02985695,0.5194172,0.03012143,0.005116082,0.4044188],"study_design_scores_gemma":[0.0002668245,0.005501816,0.006565216,0.000644503,0.0001624598,0.004417403,0.002029854,0.1829525,0.5790127,0.01075908,0.2072288,0.0004587565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07334509,0.0008450034,0.9075301,0.0003017769,0.0002981414,0.001864201,0.0001237531,0.002284744,0.01340727],"genre_scores_gemma":[0.1979017,0.0006753521,0.7922712,0.0001257586,0.00002403535,0.001182831,0.0001659687,0.0004553369,0.007197795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005180342,"threshold_uncertainty_score":0.01732993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02806864231039595,"score_gpt":0.2591964577705508,"score_spread":0.2311278154601548,"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."}}