{"id":"W4312877245","doi":"10.1109/cloudsummit54781.2022.00004","title":"Table of Contents","year":2022,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Table (database); Computer science; Database","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":["insufficient_payload"],"category_scores_codex":[0.0006340602,0.001081695,0.001020342,0.005112162,0.001486,0.003919283,0.001579034,0.000996088,0.8558972],"category_scores_gemma":[0.006841412,0.0003228068,0.000578533,0.004009428,0.0003110176,0.001878363,0.001635143,0.001025737,0.7976307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001393542,"about_ca_system_score_gemma":0.002505174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00349846,"about_ca_topic_score_gemma":0.004923461,"domain_scores_codex":[0.9993925,0.00007292984,0.00003068981,0.0001023977,0.0003525952,0.0000487777],"domain_scores_gemma":[0.9967056,0.0006351785,0.0001406482,0.0003656194,0.001753479,0.000399465],"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":[0.00003016228,0.00004653844,0.000176252,0.0002634054,0.000005620729,0.0000237002,0.00001094868,0.0001825328,0.0002281484,0.001475823,0.9241322,0.07342468],"study_design_scores_gemma":[0.000008734792,0.00002130327,0.0004340784,0.0002276279,0.000007037081,0.00004209195,0.0000280851,0.0001215989,0.0002400035,0.001655606,0.9972058,0.000007901266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007827819,0.004133009,0.004606684,0.002938274,0.01048815,0.000835078,0.06886642,0.002605109,0.9047444],"genre_scores_gemma":[0.0032571,0.003447918,0.003127215,0.001979939,0.002438087,0.0005578338,0.0481713,0.001191357,0.9358292],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1441028,"threshold_uncertainty_score":0.2055451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03872965839526196,"score_gpt":0.2841112366020646,"score_spread":0.2453815782068026,"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."}}