{"id":"W2577080715","doi":"10.1109/5289.988738","title":"Computer-controlled human operators","year":2002,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada; University of Ottawa","funders":"","keywords":"Computer science; Human–computer interaction","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":[0.001372698,0.000777775,0.0003222229,0.0004527904,0.0007615551,0.00173101,0.00153066,0.0008299391,0.02796892],"category_scores_gemma":[0.004231652,0.000195573,0.0002258839,0.0003288039,0.001188209,0.001624286,0.00181961,0.000860234,0.006259305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004305817,"about_ca_system_score_gemma":0.001651484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001826525,"about_ca_topic_score_gemma":0.001559277,"domain_scores_codex":[0.9982077,0.0003238584,0.00006721144,0.0004232903,0.0007811642,0.0001967595],"domain_scores_gemma":[0.997335,0.0007928938,0.0001890471,0.0006557442,0.0007741937,0.0002530582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001431684,0.0006480673,0.004038271,0.001240533,0.0000722173,0.0008256167,0.003227476,0.01441697,0.1183708,0.175295,0.0953627,0.5850707],"study_design_scores_gemma":[0.0004370046,0.001024913,0.003803526,0.0003548435,0.00006261793,0.001087195,0.000872127,0.06817855,0.04470424,0.03833286,0.8410037,0.0001385051],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04279812,0.001682003,0.7075614,0.001290883,0.001171315,0.001916919,0.000746218,0.008846335,0.2339868],"genre_scores_gemma":[0.6817641,0.001824657,0.1796472,0.001115493,0.0005215032,0.002073038,0.0009879791,0.0005569723,0.131509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02796892,"threshold_uncertainty_score":0.09356534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03836085696789594,"score_gpt":0.2278624234679696,"score_spread":0.1895015665000736,"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."}}