{"id":"W2052713025","doi":"10.1109/robot.2010.5509269","title":"Graphical state-space programmability as a natural interface for robotic control","year":2010,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Graphical user interface; Human–computer interaction; Usability; Visual programming language; Mobile robot; Interface (matter); Visualization; Programming by demonstration; Robotics; Functional reactive programming; Robot; State (computer science); Artificial intelligence; Reactive programming; Inductive programming; Programming paradigm; Programming language","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":[0.0001906323,0.0001171904,0.0001600856,0.00003138785,0.00005013132,0.00008638623,0.0002453708,0.00006699696,0.00002973561],"category_scores_gemma":[0.000009999831,0.00009327322,0.00008411347,0.00008138514,0.00004974029,0.00008892142,0.00002542968,0.0002859881,0.00003223609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001685284,"about_ca_system_score_gemma":0.000009958531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005844467,"about_ca_topic_score_gemma":0.0003682497,"domain_scores_codex":[0.9993274,0.00002373525,0.000202677,0.0001333251,0.00008658105,0.0002262647],"domain_scores_gemma":[0.9993436,0.0001067477,0.00001911911,0.0003739996,0.00007493294,0.00008164276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002801752,0.0003961649,0.00894787,0.0005404477,0.000515784,0.000002295155,0.002215766,0.01434729,0.893925,0.0165072,0.001389325,0.06093274],"study_design_scores_gemma":[0.003507431,0.0002881604,0.003862845,0.00003281642,0.00004720879,0.00004292774,0.0004796808,0.7772859,0.08381362,0.01009244,0.1196992,0.0008478076],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5003074,0.0001233227,0.4959129,0.001158568,0.0003214864,0.0008866449,0.000002691708,0.0006556291,0.0006313375],"genre_scores_gemma":[0.9940043,0.000002982428,0.005346723,0.00003933028,0.00003115157,0.000145745,0.000003410367,0.00002190852,0.0004044246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8101113,"threshold_uncertainty_score":0.3803571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006890938074625413,"score_gpt":0.2387005504639494,"score_spread":0.231809612389324,"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."}}