{"id":"W6923523305","doi":"10.1371/journal.pone.0273569.s001","title":"Model fit by rank parameter and MME-weighted edges (2012 quarter 3 to 2015 quarter 2).","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Rank (graph theory); Window (computing); Statistical analysis; Maximum likelihood","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007707849,0.0001796674,0.0001663306,0.000155329,0.0001886037,0.0001656627,0.0007002093,0.00005212679,0.01621278],"category_scores_gemma":[0.00008850624,0.0001805577,0.0000470335,0.0003196086,0.000006442656,0.000424075,0.0005072981,0.0001597416,0.0002760163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005124279,"about_ca_system_score_gemma":0.00003481362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002744768,"about_ca_topic_score_gemma":7.380648e-7,"domain_scores_codex":[0.9985964,0.00005770812,0.0002054958,0.0004900175,0.0003336625,0.0003167588],"domain_scores_gemma":[0.9990026,0.0001262412,0.00007583039,0.000532098,0.00009179248,0.0001714882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004594205,0.00003461541,0.000005478777,0.000009720235,0.000006649924,0.000002411763,0.00057891,0.0007632498,0.00002449713,0.0002008142,0.997126,0.001243044],"study_design_scores_gemma":[0.0003795833,0.0002924218,0.00006524701,0.00007658239,0.000005944617,0.00002130561,0.00003482771,0.8882983,0.0004510377,0.001812882,0.1081055,0.0004562858],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004899566,0.0006976391,0.9229578,0.006156967,0.0002565185,0.001352426,0.06556563,0.001151055,0.001371975],"genre_scores_gemma":[0.5482993,0.000006342957,0.3790173,0.01963533,0.0002320653,0.008952544,0.03677134,0.0001799747,0.006905791],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8890205,"threshold_uncertainty_score":0.9846866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03877211966217909,"score_gpt":0.2597595462428071,"score_spread":0.220987426580628,"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."}}