{"id":"W4394510410","doi":"10.6084/m9.figshare.911326","title":"2013 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002193797,0.003548769,0.002436816,0.003744615,0.001628818,0.004328723,0.002955914,0.002159722,0.06743084],"category_scores_gemma":[0.005512478,0.0006350166,0.001801472,0.006288504,0.0004350483,0.003474593,0.002797264,0.002331209,0.1520619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002797402,"about_ca_system_score_gemma":0.003944577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0360341,"about_ca_topic_score_gemma":0.06343528,"domain_scores_codex":[0.9971011,0.0004835109,0.000321457,0.0006106152,0.001121604,0.0003617056],"domain_scores_gemma":[0.9969242,0.0002634945,0.0001211743,0.0009275575,0.001362819,0.0004007463],"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":[0.00003605869,0.00002282049,0.0002406077,0.00009078209,0.00001046589,0.000008061927,0.00000453297,0.0002023088,0.00007280937,0.0001863772,0.9950886,0.004036667],"study_design_scores_gemma":[0.00005994719,0.0000250762,0.00272567,0.00009414653,0.00002497634,0.00004673436,0.00007589881,0.002249249,0.0006597629,0.00119993,0.9928089,0.00002974075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001686946,0.0007551917,0.001205176,0.001108217,0.00142172,0.00009268492,0.972073,0.006154165,0.01550291],"genre_scores_gemma":[0.001035702,0.0002104476,0.0006259139,0.0001200847,0.00005652631,0.00005295485,0.9942965,0.000160417,0.003441379],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9325691,"threshold_uncertainty_score":0.2255786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716906945968589,"score_gpt":0.2278421914486537,"score_spread":0.2106731219889678,"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."}}