{"id":"W2263231042","doi":"10.14288/1.0074484","title":"Motorized zoom control","year":2013,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Zoom; Control (management); Computer science; Artificial intelligence; Geology","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":[0.0006846638,0.001141468,0.0006156194,0.001063987,0.0006151089,0.001401429,0.002832485,0.00100472,0.05027216],"category_scores_gemma":[0.002017111,0.0005703695,0.0005057824,0.0004845709,0.0006632105,0.001872566,0.001408011,0.0009530113,0.008399531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008578717,"about_ca_system_score_gemma":0.0008196887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00265365,"about_ca_topic_score_gemma":0.002527715,"domain_scores_codex":[0.9987489,0.00007575072,0.00005147186,0.0002547679,0.0007489336,0.0001202941],"domain_scores_gemma":[0.9991167,0.0001495321,0.00008825206,0.0001904431,0.0003849739,0.00007006879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009398513,0.000178069,0.00115774,0.001036023,0.00007891727,0.000521216,0.0007210263,0.01058868,0.2280522,0.03347806,0.06939393,0.6538543],"study_design_scores_gemma":[0.0001884253,0.0006854882,0.002522252,0.0002112351,0.0000745854,0.001157472,0.0001363025,0.09140799,0.1700673,0.005402854,0.7278695,0.0002765903],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01830458,0.001825546,0.8255056,0.0004262033,0.0009841053,0.0009861646,0.000962022,0.03022435,0.1207815],"genre_scores_gemma":[0.3975561,0.00187603,0.4300034,0.001054248,0.0003259663,0.001318333,0.002045741,0.002651021,0.1631691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05027216,"threshold_uncertainty_score":0.1681771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004046901407725103,"score_gpt":0.1340622977276796,"score_spread":0.1300153963199545,"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."}}