{"id":"W4247387869","doi":"10.1109/lsens.2018.2887033","title":"IEEE Sensors Council","year":2018,"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":[0.0006586412,0.0004883289,0.000373419,0.000176451,0.000364276,0.0004041225,0.0009312505,0.000174772,0.00008563078],"category_scores_gemma":[0.000121784,0.0005316174,0.000202277,0.0006674649,0.0003464001,0.0003741961,0.00007452634,0.0004432641,0.003066968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006792512,"about_ca_system_score_gemma":0.0004309837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001375111,"about_ca_topic_score_gemma":0.00001872968,"domain_scores_codex":[0.9961879,0.00009929435,0.0005185793,0.0008779236,0.001293564,0.001022801],"domain_scores_gemma":[0.997548,0.0002542985,0.0001716574,0.001059804,0.0005905028,0.0003757402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002907518,0.0001995081,0.0002177201,0.0001538874,0.0002949653,0.0002649455,0.01274003,0.2640491,0.1909468,0.002969234,0.5267848,0.001349915],"study_design_scores_gemma":[0.001227637,0.0003540136,0.002908383,0.0004531663,0.0001488497,0.0003602468,0.0003065845,0.6813281,0.03925211,0.0003046894,0.2706212,0.002734986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9006825,0.0001235276,0.04331194,0.02726995,0.02508977,0.0002536454,0.00002242676,0.0002300685,0.003016192],"genre_scores_gemma":[0.9640189,0.00005674699,0.0150881,0.008766185,0.006351485,0.000007268866,0.000003245025,0.0000882265,0.005619811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.417279,"threshold_uncertainty_score":0.9997135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0431647513780095,"score_gpt":0.2398456053177472,"score_spread":0.1966808539397377,"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."}}