{"id":"W1991395342","doi":"10.1145/1125451.1125640","title":"Targeted steering motions","year":2006,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Control theory (sociology); Control engineering; Engineering; Simulation; 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":[0.0001735921,0.0008969748,0.0004313084,0.0003491585,0.0003398657,0.0005734543,0.0006411063,0.0009902824,0.006198668],"category_scores_gemma":[0.0009448103,0.0003063251,0.0005976357,0.0002597567,0.00053933,0.001260478,0.0008824911,0.0004383883,0.001640466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003880273,"about_ca_system_score_gemma":0.0003551389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002335767,"about_ca_topic_score_gemma":0.001405044,"domain_scores_codex":[0.9997669,0.00003210135,0.000006582929,0.0000701083,0.00008304704,0.00004124219],"domain_scores_gemma":[0.999743,0.00006196573,0.00004830141,0.00004052692,0.00007765227,0.00002851512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000280341,0.0001571593,0.004399632,0.0002843914,0.0000856047,0.0008391874,0.0004634842,0.6421888,0.09688793,0.1637752,0.006525562,0.08411268],"study_design_scores_gemma":[0.00002653745,0.0002207658,0.001712325,0.00005010859,0.00003290435,0.0004595388,0.0001557441,0.9409602,0.01558018,0.02540793,0.01534596,0.0000479836],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1115714,0.0009971571,0.8440409,0.0002517563,0.0001897725,0.0001362932,0.0003740329,0.0007560988,0.04168265],"genre_scores_gemma":[0.9269994,0.001141065,0.04761741,0.0002254645,0.00005677841,0.0001233017,0.0003942644,0.0002488745,0.02319345],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006198668,"threshold_uncertainty_score":0.02073663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006788752934213781,"score_gpt":0.2159360855009632,"score_spread":0.2091473325667494,"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."}}