{"id":"W2028409828","doi":"10.1145/2659766.2661223","title":"HoloLeap","year":2014,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Gesture; Computer science; Viewpoints; Object (grammar); Computer vision; Artificial intelligence; Controller (irrigation); Human–computer interaction; Field (mathematics); Computer graphics (images); Mathematics; Visual arts","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":[0.0004575318,0.0009180414,0.0005870087,0.0008920974,0.0006314474,0.001810982,0.00285371,0.001195614,0.1282467],"category_scores_gemma":[0.0009043235,0.0006840084,0.0007662994,0.0006163186,0.0003789674,0.002906187,0.003703523,0.001489096,0.04176763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003370842,"about_ca_system_score_gemma":0.0006919796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001544534,"about_ca_topic_score_gemma":0.002130441,"domain_scores_codex":[0.999341,0.000043123,0.0000266776,0.000118239,0.0003689294,0.0001020866],"domain_scores_gemma":[0.9993875,0.0001116789,0.00002397459,0.0002032294,0.0001651164,0.0001084576],"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":[0.001503456,0.0002553551,0.001402395,0.001132842,0.0001184587,0.0007008967,0.0003951818,0.002398983,0.05376156,0.01499814,0.4245228,0.49881],"study_design_scores_gemma":[0.0001237324,0.0002111718,0.001675901,0.0001057385,0.00005003477,0.0009973788,0.0000575238,0.0106216,0.03205831,0.004068986,0.9499009,0.0001286935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01859765,0.002727095,0.4630773,0.0009453701,0.00126574,0.0007668629,0.01542524,0.212688,0.2845066],"genre_scores_gemma":[0.1939508,0.002538081,0.383931,0.00272069,0.0005403335,0.001359016,0.05333798,0.04171769,0.3199044],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1282467,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005038737240541232,"score_gpt":0.2163168947571553,"score_spread":0.2112781575166141,"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."}}