{"id":"W88040435","doi":"","title":"Fast Fitting of Convolutions Using Rational Approximations.","year":2004,"lang":"en","type":"article","venue":"","topic":"Behavioral and Psychological Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Weibull distribution; Applied mathematics; Asymmetry; Computer science; Numerical integration; Distribution (mathematics); Algorithm; Mathematics; Statistics; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007036304,0.00005972308,0.00009728548,0.0000303334,0.0001194553,0.000004887679,0.00005798986,0.0000504681,0.0023241],"category_scores_gemma":[0.00001147433,0.00004577816,0.00004792447,0.0001479504,0.0001071008,0.00003816762,0.00001921889,0.00006289712,0.00009909875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000177639,"about_ca_system_score_gemma":0.000009414899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002856237,"about_ca_topic_score_gemma":0.00001551657,"domain_scores_codex":[0.999461,0.00002068909,0.0001995736,0.0001243346,0.00007489309,0.0001195424],"domain_scores_gemma":[0.9997396,0.00002796233,0.0000601585,0.00009041003,0.00005665892,0.00002523817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006524552,0.001486475,0.04899755,0.00001374162,0.0001198119,0.000006683371,0.003296558,0.001143436,0.0102224,0.9213833,0.001870063,0.01139474],"study_design_scores_gemma":[0.004111624,0.0004873828,0.9349217,0.00008301425,0.0001314945,0.00009089975,0.005661986,0.0002158927,0.00186989,0.04699504,0.004788575,0.0006425214],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8864042,0.0002563347,0.05842512,0.000552047,0.0003117465,0.0001460408,0.00002268637,0.0000573004,0.05382456],"genre_scores_gemma":[0.9844084,0.000001709269,0.01470813,0.0001313107,0.00005167506,0.00001455327,0.000008167219,0.000003528802,0.0006725401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8859241,"threshold_uncertainty_score":0.9985879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3339668398013015,"score_gpt":0.3880006704740888,"score_spread":0.05403383067278722,"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."}}