{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007985465,0.000888893,0.0007287511,0.001071952,0.00135583,0.003270948,0.001114387,0.003173506,0.4238785],"category_scores_gemma":[0.00502575,0.0002089741,0.00051495,0.0006380909,0.0006755437,0.002749786,0.001456702,0.003482114,0.4382445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018856,"about_ca_system_score_gemma":0.001558978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120611,"about_ca_topic_score_gemma":0.001756698,"domain_scores_codex":[0.9993,0.00006788233,0.0000506322,0.0001042528,0.0004031509,0.00007412482],"domain_scores_gemma":[0.9971317,0.0004185093,0.0001058467,0.0001682508,0.001626945,0.00054882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001993877,0.00001334768,0.00003950053,0.0000875103,0.000001898716,0.00006243144,0.00002111175,0.00001546419,0.0001625454,0.002438375,0.9495234,0.04761441],"study_design_scores_gemma":[0.000002590353,0.00001078521,0.00007451626,0.00008591153,0.000001245539,0.0001662799,0.00002475163,0.000008619264,0.00005691412,0.000921694,0.9986445,0.000002181433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0007276512,0.02174048,0.002929522,0.09501077,0.3067202,0.0002850697,0.001425945,0.0009408714,0.5702195],"genre_scores_gemma":[0.002757424,0.007936554,0.0008146954,0.02698985,0.03635926,0.00009269523,0.0009014881,0.000352171,0.9237959],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4238785,"threshold_uncertainty_score":0,"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."}}