{"id":"W2000734728","doi":"10.1109/haptics.2014.6775541","title":"[D12] mHIVE: A WYFIWIF design tool","year":2014,"lang":"en","type":"article","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008206566,0.0000790827,0.00007579182,0.00002867824,0.0000220673,0.00002767133,0.00007050569,0.00002475471,0.0002550443],"category_scores_gemma":[0.0000226122,0.0000706328,0.0000268016,0.00005992824,0.00001132799,0.00005341381,0.000008274354,0.00005991901,0.0005362149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001213977,"about_ca_system_score_gemma":0.000002876071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006523027,"about_ca_topic_score_gemma":0.00000136905,"domain_scores_codex":[0.9996064,0.00001295236,0.00007834769,0.00008046403,0.00006411601,0.0001577463],"domain_scores_gemma":[0.9997512,0.00005036316,0.000004464991,0.0001510018,0.000009212011,0.00003382422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001820114,0.00006412113,0.00137826,0.0001349491,0.0001220529,0.0000195793,0.0009108532,0.1566307,0.07871632,0.02558437,0.4370385,0.2993822],"study_design_scores_gemma":[0.0005213053,0.00003906663,0.002346635,0.00002224636,0.00001841144,0.00002025275,0.00004946911,0.6875206,0.03818617,0.001957386,0.2688115,0.0005069147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06770562,0.0000595226,0.7214534,0.0001584677,0.0003732161,0.0001046074,8.991366e-7,0.001386315,0.2087579],"genre_scores_gemma":[0.9831571,0.000006929935,0.01315403,0.0001895131,0.0001099821,0.000004518506,0.000001019607,0.00002360574,0.003353326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9154515,"threshold_uncertainty_score":0.6892136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006417382219870304,"score_gpt":0.1729588415074754,"score_spread":0.1665414592876051,"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."}}