{"id":"W4307475326","doi":"10.1145/3526113.3545698","title":"Mixels: Fabricating Interfaces using Programmable Magnetic Pixels","year":2022,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Pixel; Plotter; Computer science; Electromagnet; Fabrication; Interface (matter); Computer graphics (images); Computer hardware; Acoustics; Materials science; Electrical engineering; Magnet; Computer vision; Physics; Engineering","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":[0.0002456646,0.000528028,0.0001966912,0.0003347228,0.0001790655,0.0005387384,0.0009084875,0.0003491293,0.008683614],"category_scores_gemma":[0.0009303276,0.0003496035,0.0001627021,0.0001536953,0.0003238222,0.0009538343,0.0009025404,0.0003909188,0.0008279245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001939274,"about_ca_system_score_gemma":0.0001166338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002602529,"about_ca_topic_score_gemma":0.0005135826,"domain_scores_codex":[0.9997589,0.00002526051,0.00001027435,0.00004875623,0.0001249173,0.00003196005],"domain_scores_gemma":[0.99958,0.0002051222,0.00005703658,0.00006418087,0.00005426862,0.00003942141],"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":[0.0005155873,0.00009951773,0.001499261,0.0004684266,0.00003373878,0.000373199,0.000377969,0.006710881,0.765281,0.007331189,0.00544694,0.2118623],"study_design_scores_gemma":[0.00008898877,0.0005959665,0.002771062,0.00004923246,0.00003560279,0.0006613056,0.0001100912,0.07315977,0.8510633,0.002104264,0.06928825,0.00007217859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2486675,0.0007800713,0.7096284,0.0002173841,0.0002885169,0.0003088726,0.0003054212,0.01886096,0.02094294],"genre_scores_gemma":[0.6017594,0.0003228794,0.3822662,0.0002429009,0.00006343352,0.0002638233,0.0002254022,0.001129926,0.01372602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008683614,"threshold_uncertainty_score":0.02904963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398687431722391,"score_gpt":0.2617563504014472,"score_spread":0.2377694760842233,"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."}}