{"id":"W4200579878","doi":"10.1109/lsens.2021.3131091","title":"IEEE Sensors Council","year":2021,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000490745,0.0004611395,0.0004150778,0.0001162582,0.0002576287,0.0004927967,0.0006449212,0.0001698758,0.00008924629],"category_scores_gemma":[0.0001796186,0.0005392145,0.0002686702,0.0007892192,0.0001179623,0.0003269278,0.00008603908,0.0005541663,0.001105648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007109482,"about_ca_system_score_gemma":0.00089338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006782109,"about_ca_topic_score_gemma":0.00001522238,"domain_scores_codex":[0.996129,0.0001399336,0.0005269608,0.0009405275,0.001342667,0.0009209563],"domain_scores_gemma":[0.9974419,0.0003487457,0.0001426155,0.00108722,0.0006134713,0.0003660284],"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":[0.000005918687,0.0001356637,0.0001008222,0.0001323593,0.0001800341,0.001078436,0.003571721,0.6846088,0.163178,0.001787276,0.1446767,0.0005441973],"study_design_scores_gemma":[0.001632845,0.000110232,0.0031796,0.0006804361,0.0002337573,0.001279307,0.0007378546,0.6065569,0.09385289,0.0003648897,0.2879733,0.003398042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8786932,0.0006190455,0.03795895,0.05662114,0.02325794,0.000188078,0.00003540222,0.0002040051,0.002422247],"genre_scores_gemma":[0.9350458,0.0003306766,0.02888563,0.01588166,0.003795659,0.00001174974,0.00001537345,0.000135372,0.01589814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1432965,"threshold_uncertainty_score":0.9997059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04203852456462396,"score_gpt":0.2320211451941865,"score_spread":0.1899826206295626,"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."}}