{"id":"W2132572455","doi":"10.1002/cjs.10071","title":"Closed‐form likelihoods for stochastic differential equation growth models","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Applied mathematics; Econometrics; Estimation theory; Growth model; Statistics; Statistical physics; Mathematical economics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01665297,0.001677917,0.002326902,0.002565938,0.0008547002,0.004879137,0.003500104,0.002773143,0.008705712],"category_scores_gemma":[0.09340535,0.00195761,0.002128135,0.00234736,0.003505522,0.006228466,0.003444291,0.004289585,0.002094537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004528902,"about_ca_system_score_gemma":0.003461688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006018636,"about_ca_topic_score_gemma":0.006030566,"domain_scores_codex":[0.9950079,0.002949719,0.000222779,0.000634025,0.0008879171,0.0002976874],"domain_scores_gemma":[0.9364808,0.05572595,0.002642246,0.00168937,0.002914801,0.0005468755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004324761,0.00006450368,0.001488951,0.0001748089,0.00007802044,0.0001529359,0.0002843073,0.4844307,0.0003479953,0.4788698,0.003885878,0.03017875],"study_design_scores_gemma":[0.00001337641,0.00001078847,0.0002594212,0.00005649207,0.00001264685,0.0000600765,0.00003509094,0.756808,0.0001901938,0.2411037,0.001421991,0.00002812047],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005738281,0.00040663,0.9905246,0.0006190423,0.00002832592,0.00006318641,0.0002294359,0.0002687168,0.002121769],"genre_scores_gemma":[0.4699867,0.002927159,0.5026641,0.0008118949,0.0003313785,0.001654674,0.00355755,0.001019173,0.01704737],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01665297,"threshold_uncertainty_score":0.08807039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07368620611467736,"score_gpt":0.3142659438229368,"score_spread":0.2405797377082594,"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."}}