{"id":"W4391128819","doi":"10.1109/isec57711.2023.10402223","title":"ISEC 2023 Technical Program Committee","year":2023,"lang":"en","type":"article","venue":"","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","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":[],"category_scores_codex":[0.0000545053,0.0000868037,0.00008971063,0.00009162076,0.00002589246,0.00002027903,0.0001890453,0.000118354,0.0001804546],"category_scores_gemma":[0.00001896814,0.00007503582,0.00004679678,0.0005571283,0.00004023618,0.00003524151,0.0000738878,0.00013979,0.001398159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001877655,"about_ca_system_score_gemma":0.000003544433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003960183,"about_ca_topic_score_gemma":0.00004364476,"domain_scores_codex":[0.9994807,0.000002232631,0.00008905085,0.00009386037,0.00008708113,0.0002471088],"domain_scores_gemma":[0.9996939,0.00002308727,0.000004324958,0.0002416771,0.000007815644,0.00002921356],"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":[0.000001642623,0.0000232272,0.00109069,0.00002736447,0.00003190223,0.00002698309,0.00001836757,0.0003086793,0.01321792,0.004163675,0.804045,0.1770446],"study_design_scores_gemma":[0.0004497688,0.0001457892,0.03572124,0.00002264954,0.00002092828,0.00002262495,0.0007509021,0.02572475,0.01692973,0.004245764,0.9153385,0.000627367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.459249,0.0006341284,0.002357765,0.003518928,0.0009672936,0.0009482116,0.00001344904,0.1414276,0.3908836],"genre_scores_gemma":[0.992651,0.0001134876,0.002864587,0.00002028516,0.00004035126,0.0001843886,0.000008833212,0.00002734009,0.004089738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.533402,"threshold_uncertainty_score":0.9993794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145263637691198,"score_gpt":0.2483141059958164,"score_spread":0.2337877422266966,"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."}}