{"id":"W4394147377","doi":"10.6084/m9.figshare.911326.v1","title":"IEEE ISTAS13 Symposium","year":2014,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced Data and IoT Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00001039116,0.0002968165,0.0002647645,0.0001070991,0.0000367454,0.00004782855,0.0006976109,0.0004686305,0.05937237],"category_scores_gemma":[0.0001995213,0.0002943048,0.00006393281,0.0001041816,0.000006251159,0.000105701,0.0001304257,0.0004985913,0.02151228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005166899,"about_ca_system_score_gemma":0.00001199933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001995325,"about_ca_topic_score_gemma":0.000009777844,"domain_scores_codex":[0.9991733,0.000005560305,0.0001659436,0.0002376687,0.0001297369,0.0002878274],"domain_scores_gemma":[0.998917,0.00005382258,0.00004508046,0.0009089942,0.00002591137,0.00004913215],"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":[4.331292e-7,0.000002952436,8.363973e-9,0.0007108244,0.00001600948,0.00001485657,7.593997e-7,0.0004137486,0.00001279618,3.564186e-7,0.9981726,0.0006546371],"study_design_scores_gemma":[0.00005372095,0.00001522734,5.070207e-7,0.0008677698,0.00001019814,0.000005952256,0.000001791089,0.000143362,0.0004319872,0.00001285629,0.9981034,0.0003532222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[6.445526e-8,0.0003613179,0.00001010089,0.000008658496,0.0003659978,0.0001198843,0.9974286,0.001049957,0.0006554369],"genre_scores_gemma":[0.0000019149,0.0001398082,0.00008749294,0.00006026972,0.0003094098,0.0001688383,0.9991132,0.00004243806,0.00007660971],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03786009,"threshold_uncertainty_score":0.9999509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723961006802295,"score_gpt":0.2281717429420017,"score_spread":0.2109321328739787,"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."}}