{"id":"W4240241649","doi":"10.1109/jsen.2013.2252035","title":"IEEE Sensors Council Information","year":2013,"lang":"ru","type":"article","venue":"IEEE Sensors Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"University of California, Davis; Scuola Superiore Sant'Anna; National Chiao Tung University; Intel Corporation; University of Limerick; University of Manchester; Mitsubishi Electric Research Laboratories; Langley Research Center; Shanghai Educational Development Foundation; National Aeronautics and Space Administration","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002349316,0.001459468,0.001436312,0.003498228,0.001347795,0.002909997,0.002249706,0.002821533,0.5082213],"category_scores_gemma":[0.006326703,0.000892326,0.0006386759,0.002826313,0.0004972263,0.002910456,0.00192569,0.002387138,0.3735554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141964,"about_ca_system_score_gemma":0.002432366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002742257,"about_ca_topic_score_gemma":0.005808323,"domain_scores_codex":[0.9976846,0.0003452849,0.0001014481,0.0002448353,0.001491587,0.0001322371],"domain_scores_gemma":[0.9959332,0.0006180867,0.0001804372,0.0008546753,0.00218712,0.0002264081],"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":[0.000078155,0.00004693773,0.0001115632,0.0002467158,0.000007475557,0.00002957249,0.00001969949,0.0004237978,0.001333375,0.003635381,0.8794432,0.1146242],"study_design_scores_gemma":[0.00001429136,0.00002607555,0.0002326133,0.00007325018,0.000008926149,0.00005110508,0.0000198571,0.001044483,0.001548738,0.002218909,0.9947472,0.00001449337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00101808,0.004874222,0.03689953,0.006557216,0.007885847,0.0007276039,0.01904763,0.006221984,0.9167678],"genre_scores_gemma":[0.01022746,0.005007314,0.009714912,0.00206413,0.001247874,0.0007440073,0.02220084,0.001705424,0.9470881],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5082213,"threshold_uncertainty_score":0.7014626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05443401848748815,"score_gpt":0.1978637989865953,"score_spread":0.1434297804991072,"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."}}