{"id":"W4253816391","doi":"10.1017/s0263574704001274","title":"Foreword","year":2005,"lang":"en","type":"article","venue":"Robotica","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Balance (ability); Engineering; Psychology; Neuroscience","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":[0.00002747043,0.00005128305,0.00005132356,0.00002881988,0.00001977407,0.000005463184,0.00007806884,0.00004900038,0.0000306798],"category_scores_gemma":[0.00001381706,0.00004896557,0.0000180377,0.00006172725,0.00001423675,0.00002928641,0.00001049549,0.00009895069,0.0002129688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002341216,"about_ca_system_score_gemma":0.000003011112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.031912e-7,"about_ca_topic_score_gemma":0.000001838596,"domain_scores_codex":[0.9996925,0.00000170377,0.00005778084,0.00005310724,0.00003112941,0.0001637668],"domain_scores_gemma":[0.9998479,0.00001208899,0.000003281647,0.0001150862,0.00000516624,0.00001641816],"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":[0.000001868354,0.00001983482,0.0001863897,0.00002997054,0.00003936785,0.000004969922,0.0001153839,0.0147648,0.2447188,0.01956597,0.1388233,0.5817293],"study_design_scores_gemma":[0.0001789654,0.0000318911,0.0004294463,0.00002158146,0.00001215513,0.00002254236,0.00002554803,0.01137484,0.6888829,0.0009901345,0.2977867,0.0002432516],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5848124,0.02134416,0.2651169,0.0106442,0.0006917718,0.0003130686,0.000008398832,0.02034432,0.09672474],"genre_scores_gemma":[0.988979,0.0001156869,0.01019041,0.00005701539,0.00006550064,0.000003511855,8.023175e-7,0.00001295061,0.000575156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.581486,"threshold_uncertainty_score":0.2737354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003470334995833819,"score_gpt":0.1718959681584537,"score_spread":0.1684256331626199,"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."}}