{"id":"W1543448657","doi":"10.20380/gi2001.16","title":"3D Scene Manipulation with 2D Devices and Constraints","year":2001,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Process (computing); Object (grammar); Computer graphics; Human–computer interaction; 3D interaction; User interface; Graphics; Computer vision; Interface (matter); Artificial intelligence; Computer graphics (images); Virtual reality","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":[0.000565201,0.001147657,0.0008863346,0.0007908575,0.0005499398,0.001710863,0.001106402,0.001039785,0.007783975],"category_scores_gemma":[0.004494796,0.0006411273,0.0008077453,0.0007183449,0.000723519,0.002292895,0.002366744,0.0006656785,0.001084515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002204094,"about_ca_system_score_gemma":0.0003115132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005834264,"about_ca_topic_score_gemma":0.0009669956,"domain_scores_codex":[0.9985151,0.0004146872,0.0000975842,0.0001396412,0.0007429591,0.00009003048],"domain_scores_gemma":[0.996636,0.002079296,0.0003218702,0.0006840649,0.0002020719,0.00007657843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001194176,0.0002808619,0.002264776,0.002686078,0.0002901013,0.000598377,0.001473991,0.02852599,0.584867,0.01851081,0.00492262,0.3543853],"study_design_scores_gemma":[0.000504846,0.002869363,0.01846448,0.0004073707,0.0004146676,0.004682798,0.0007442132,0.2228155,0.5347095,0.01218357,0.2014218,0.0007818989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1024623,0.002324565,0.8800119,0.0001761831,0.0001378027,0.0003774425,0.0003298351,0.003532973,0.010647],"genre_scores_gemma":[0.3482322,0.001472755,0.644258,0.0002031485,0.00006980639,0.0004843332,0.0004843798,0.0009428943,0.00385241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007783975,"threshold_uncertainty_score":0.02604002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791854768252095,"score_gpt":0.2510434559046509,"score_spread":0.23312490822213,"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."}}