{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004917496,0.001223862,0.001346527,0.001095137,0.0008337636,0.001895782,0.002606101,0.002417537,0.06725907],"category_scores_gemma":[0.02649595,0.000676515,0.002064566,0.00164656,0.0003881795,0.002465053,0.001111813,0.003353958,0.02042931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110276,"about_ca_system_score_gemma":0.002472635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05804072,"about_ca_topic_score_gemma":0.09728234,"domain_scores_codex":[0.9985768,0.0006962328,0.00006629756,0.0003455853,0.0001746393,0.000140533],"domain_scores_gemma":[0.9943335,0.003111314,0.0002419187,0.001029221,0.001062029,0.0002220227],"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":[0.001200066,0.0002855265,0.01580333,0.0004492633,0.0006496289,0.0001896357,0.0001234013,0.2658946,0.0006557056,0.01385902,0.6351116,0.06577812],"study_design_scores_gemma":[0.0003786475,0.0001775567,0.01398584,0.0002653471,0.0002162068,0.0002036274,0.0002652891,0.8613911,0.001203204,0.04063117,0.08113659,0.0001454868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2151942,0.005279313,0.3537449,0.01470349,0.00453187,0.0003844695,0.3326752,0.03157378,0.04191278],"genre_scores_gemma":[0.5970145,0.0008690838,0.1150804,0.001603175,0.0005052068,0.0005291014,0.2311154,0.01030443,0.04297864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06725907,"threshold_uncertainty_score":0.225004,"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."}}