{"id":"W4308083852","doi":"10.1109/lsens.2022.3217637","title":"IEEE Sensors Council Information","year":2022,"lang":"en","type":"article","venue":"IEEE Sensors Letters","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008943351,0.0001744597,0.0003195027,0.0002313216,0.000493443,0.0001141638,0.0002695938,0.00003560393,0.004469544],"category_scores_gemma":[0.00005180011,0.0002248723,0.0001548842,0.0002537849,0.0001091984,0.000504049,0.00007292043,0.0002029145,0.01898388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007669519,"about_ca_system_score_gemma":0.00002973771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002001617,"about_ca_topic_score_gemma":0.000003473748,"domain_scores_codex":[0.9985089,0.00002137834,0.0005666501,0.0003591483,0.0001373042,0.0004066667],"domain_scores_gemma":[0.9991587,0.00004250411,0.0003423093,0.000343562,0.00003797867,0.00007489587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002134925,0.00002426757,0.0006303421,0.00001127533,0.00007703536,0.00000921779,0.003381858,0.03152806,0.0001533292,0.002111094,0.9619598,0.0000923214],"study_design_scores_gemma":[0.0005526937,0.00002309807,0.0003404165,0.000001987158,0.000006874387,0.00001153997,0.001371565,0.003123587,0.0001088224,0.0002176595,0.9939085,0.0003333033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8409656,0.00008852447,0.0001147497,0.003072681,0.01179533,0.0002465324,0.001274556,0.00009954461,0.1423425],"genre_scores_gemma":[0.8834384,0.00006353822,0.0002479269,0.01121709,0.0003333694,0.00006605851,0.00003864634,0.00003579414,0.1045592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04247285,"threshold_uncertainty_score":0.9964405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04853263111506043,"score_gpt":0.1827351657082875,"score_spread":0.1342025345932271,"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."}}