{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00001181685,0.0003376591,0.0002980061,0.000121711,0.00004186458,0.0000556274,0.0007801764,0.0005283434,0.07268524],"category_scores_gemma":[0.0001580984,0.0003329319,0.00007161681,0.0001088754,0.00000761381,0.0001367126,0.0001538602,0.0005522356,0.03231406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005432541,"about_ca_system_score_gemma":0.00001289559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006302954,"about_ca_topic_score_gemma":0.00002375789,"domain_scores_codex":[0.9990592,0.000006706327,0.0001899145,0.0002695424,0.000145048,0.0003296041],"domain_scores_gemma":[0.9987797,0.00005880032,0.00005484644,0.001015492,0.00003259404,0.00005858317],"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":[4.969393e-7,0.000003562028,9.612105e-9,0.0007113332,0.00001882537,0.00001372456,8.669e-7,0.0008871929,0.00001205806,3.052824e-7,0.9978869,0.0004647505],"study_design_scores_gemma":[0.00006137562,0.00001720307,5.738834e-7,0.0008997049,0.00001173879,0.000006320613,0.000002087515,0.0002838779,0.0002998549,0.00001323026,0.9980032,0.0004008366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[7.280826e-8,0.0006129073,0.00001329326,0.00001972036,0.0004322113,0.0001480415,0.9973138,0.001035502,0.0004244738],"genre_scores_gemma":[0.000001845009,0.0003653034,0.00009196848,0.00006387338,0.0003419237,0.000207304,0.9987649,0.00004887259,0.0001140356],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04037119,"threshold_uncertainty_score":0.9999123,"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."}}