{"id":"W4294674451","doi":"10.1109/lsens.2022.3202851","title":"IEEE Sensors Council","year":2022,"lang":"lv","type":"article","venue":"IEEE Sensors Letters","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"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"],"consensus_categories":[],"category_scores_codex":[0.0009024536,0.0004361155,0.0003638758,0.0002082176,0.0007402044,0.0002818036,0.00114614,0.00007491547,0.0002028087],"category_scores_gemma":[0.00006525202,0.0005344008,0.0002458101,0.000842013,0.0001071559,0.0002559015,0.0001961104,0.0008491899,0.0004761844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526811,"about_ca_system_score_gemma":0.0005545193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001554467,"about_ca_topic_score_gemma":0.00000500865,"domain_scores_codex":[0.9955213,0.0002061268,0.0005120893,0.0008614988,0.00196512,0.0009338587],"domain_scores_gemma":[0.99806,0.0003039049,0.0001876321,0.0009538479,0.0001990766,0.0002954897],"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":[0.000008257198,0.00008726843,0.00004920751,0.00003729423,0.00007602589,0.000206831,0.003539031,0.8243508,0.02649695,0.0008823466,0.1440473,0.0002187047],"study_design_scores_gemma":[0.0008940421,0.0001872928,0.0008910918,0.00007002665,0.0000925697,0.0005021005,0.0007607455,0.6504899,0.003139163,0.0001725058,0.3410323,0.001768307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9141638,0.0002881849,0.01353441,0.04371849,0.02623783,0.0003336211,0.00007874433,0.0002310799,0.001413854],"genre_scores_gemma":[0.9739822,0.00004794908,0.005778728,0.01084864,0.001642649,0.00003757272,0.000009988398,0.0000967366,0.007555561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.196985,"threshold_uncertainty_score":0.9997107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03943643045986105,"score_gpt":0.2241569252100348,"score_spread":0.1847204947501738,"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."}}