{"id":"W4243611775","doi":"10.1109/lsens.2019.2913124","title":"IEEE Sensors Council","year":2019,"lang":"lv","type":"article","venue":"IEEE Sensors Letters","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006026936,0.0004913351,0.0004355893,0.0001712961,0.0001561419,0.0003700478,0.0008990103,0.0001772065,0.0001171265],"category_scores_gemma":[0.00006211555,0.0005368778,0.0002441392,0.0005561971,0.00009483575,0.0004108194,0.00006959266,0.0005514656,0.00562672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007264817,"about_ca_system_score_gemma":0.0004110821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001111232,"about_ca_topic_score_gemma":0.000005260417,"domain_scores_codex":[0.9961574,0.00009258548,0.0005089618,0.0008998258,0.001378395,0.0009628409],"domain_scores_gemma":[0.9977165,0.0003283662,0.000175289,0.001148017,0.0003125295,0.0003192376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001028642,0.00007986972,0.0004088015,0.0001431198,0.0001249926,0.00009585258,0.003075839,0.8074291,0.1066773,0.00143535,0.08022783,0.0002916609],"study_design_scores_gemma":[0.001509565,0.0001951637,0.00440651,0.0005018143,0.0001103804,0.000261308,0.0003464195,0.8184016,0.01395604,0.0001641852,0.1575007,0.002646321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501833,0.000144553,0.008445536,0.01771376,0.02051499,0.0003298953,0.00001780058,0.0001589434,0.002491198],"genre_scores_gemma":[0.9728085,0.00007095086,0.007050238,0.006447707,0.001587211,0.000006536023,0.000004630828,0.000087635,0.01193656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09272123,"threshold_uncertainty_score":0.9997083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02962558527134018,"score_gpt":0.2199718452704709,"score_spread":0.1903462599991307,"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."}}