{"id":"W4309905700","doi":"10.21203/rs.3.rs-2140329/v1","title":"A confidence ellipse analysis for stochastic dynamics model of Alzheimer’s disease","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Science Fund for Distinguished Young Scholars; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Bistability; Statistical physics; Ergodic theory; Uniqueness; Noise (video); Stochastic resonance; Computer science; Mathematics; Applied mathematics; Neuroscience; Control theory (sociology); Physics; Artificial intelligence; Psychology; Mathematical analysis; Control (management)","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00202013,0.0002661615,0.0005558694,0.0004359689,0.000381388,0.00007359537,0.001319517,0.0001522685,0.0008136211],"category_scores_gemma":[0.0003213462,0.0002554355,0.0005487736,0.001047723,0.000455985,0.00007511422,0.003396648,0.0008131441,0.00002518396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007509266,"about_ca_system_score_gemma":0.0003207243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00160849,"about_ca_topic_score_gemma":0.002037814,"domain_scores_codex":[0.9955482,0.0002918556,0.0005379846,0.001033585,0.001900014,0.000688343],"domain_scores_gemma":[0.997446,0.000408338,0.0002660328,0.001328389,0.0001416593,0.0004095674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007883935,0.000156745,0.005726673,0.0003582593,0.0002128361,0.000006604832,0.0002279013,0.9893857,0.00004330534,0.003542199,0.0001063748,0.0001545722],"study_design_scores_gemma":[0.0001243295,0.00007757029,0.003801373,0.0001003787,0.0003649501,2.328228e-7,0.0003462535,0.9788954,0.000007875925,0.01601166,0.00001347261,0.0002565132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3520092,0.001264374,0.6313095,0.0005734627,0.0002079277,0.005097792,0.007667101,0.0000646086,0.001806005],"genre_scores_gemma":[0.9963794,0.0001256405,0.001066634,0.000009837751,0.00002019386,0.0009621646,0.0004433761,0.00003757521,0.000955213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6443701,"threshold_uncertainty_score":0.9999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06925168117797288,"score_gpt":0.3726369524759453,"score_spread":0.3033852712979724,"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."}}