{"id":"W2515670181","doi":"10.1007/978-3-319-39516-6_13","title":"Transition Times for Manipulation Tasks in Hybrid Interfaces","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Motion (physics); Human–computer interaction; 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":[0.0007346551,0.0004723134,0.0004842922,0.0006853353,0.0003833974,0.00119032,0.0005300958,0.0004852446,0.02239024],"category_scores_gemma":[0.01125133,0.0002816627,0.0003150141,0.0004918116,0.0002561344,0.001677182,0.0008177995,0.0006584505,0.002122971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002751015,"about_ca_system_score_gemma":0.0004100634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001301978,"about_ca_topic_score_gemma":0.001315334,"domain_scores_codex":[0.9995208,0.00008515282,0.00003346672,0.00008835454,0.0001860702,0.00008614745],"domain_scores_gemma":[0.9935853,0.005103923,0.0002606503,0.0002833296,0.0004281762,0.0003385915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03420109,0.001035736,0.0123508,0.001619679,0.0001378473,0.0006291129,0.003881553,0.03963635,0.2426723,0.03706186,0.007256023,0.6195176],"study_design_scores_gemma":[0.0006940502,0.004473294,0.1248154,0.0005053012,0.0003589042,0.0021466,0.004289587,0.6291339,0.1486798,0.07108212,0.01350482,0.000316213],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8332226,0.001438485,0.149674,0.0001650729,0.00016189,0.0001650383,0.001020706,0.001887302,0.01226503],"genre_scores_gemma":[0.9775164,0.0002521455,0.01480888,0.00002172916,0.0000125035,0.00009502644,0.0006988615,0.00040624,0.006188259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02239024,"threshold_uncertainty_score":0.07490283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755514588553381,"score_gpt":0.2590964688067797,"score_spread":0.2415413229212459,"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."}}