{"id":"W2896943372","doi":"10.1145/3242587.3242637","title":"Asterisk and Obelisk","year":2018,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inertial measurement unit; Computer science; Motion (physics); Computer vision; Asterisk; Artificial intelligence; Orientation (vector space); Kinesthetic learning; Computer graphics (images); Mathematics; The Internet","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001058825,0.0007957341,0.0005731218,0.0007235607,0.0005040562,0.00134202,0.001142144,0.001111839,0.01168713],"category_scores_gemma":[0.008379177,0.0003763185,0.000336061,0.0006920812,0.0007187038,0.003321089,0.001960305,0.0007394465,0.005106832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003461406,"about_ca_system_score_gemma":0.0006019263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076411,"about_ca_topic_score_gemma":0.001313749,"domain_scores_codex":[0.9986172,0.0002226976,0.0001483698,0.0004493547,0.0004483552,0.0001140736],"domain_scores_gemma":[0.995359,0.0009389092,0.0004347161,0.002236365,0.0008459307,0.0001850743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002662463,0.0001439049,0.007593712,0.0007303878,0.00006242951,0.0003440687,0.0007040938,0.01336576,0.1086134,0.04142804,0.03732347,0.7870283],"study_design_scores_gemma":[0.0002722717,0.001462246,0.01209144,0.0003260074,0.00009727228,0.002872639,0.0006052349,0.2105041,0.3777883,0.03230745,0.3613597,0.0003134224],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1475191,0.00177678,0.7880909,0.001292583,0.001268637,0.0002965028,0.002531064,0.018467,0.03875737],"genre_scores_gemma":[0.5834161,0.0005921382,0.3719466,0.000786212,0.0001441592,0.0002180086,0.002753963,0.001098729,0.03904396],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9883129,"threshold_uncertainty_score":0.03909737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006821074078291699,"score_gpt":0.2396731891099753,"score_spread":0.2328521150316836,"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."}}