{"id":"W7099234205","doi":"","title":"MultivariateLagrangeInversion UniversityofWaterloo,Canada [summarybyDanieleGardy] BruceRichmond May25,1998","year":2008,"lang":"en","type":"article","venue":"","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vertex (graph theory); Product (mathematics); Ball (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.000196057,0.0001750719,0.0001937952,0.0001027961,0.0004542827,0.00004799021,0.0008795821,0.00009438462,0.00005818229],"category_scores_gemma":[0.00001452135,0.0001579042,0.00007143807,0.0003307184,0.0000546537,0.0005695849,0.0002881375,0.0001621258,0.00003608271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001712489,"about_ca_system_score_gemma":0.0005688242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2552181,"about_ca_topic_score_gemma":0.06711566,"domain_scores_codex":[0.9984707,0.0001582989,0.0001585973,0.0004291485,0.0003812005,0.0004020953],"domain_scores_gemma":[0.9990045,0.00008224029,0.00005672381,0.0005370275,0.00006388452,0.0002556032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007315838,0.0002639556,0.002895534,0.00004886201,0.0001612627,0.003678958,0.005396249,0.00005425047,0.004225868,0.401353,0.4144779,0.1673709],"study_design_scores_gemma":[0.00267309,0.0001907304,0.006651431,0.00004264469,0.0000374878,0.0002366562,0.0001806354,0.05433788,0.01008559,0.01285607,0.9111009,0.001606945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007152116,0.0000759887,0.9441717,0.001369108,0.0005015378,0.0001334851,0.000002482519,0.0001751238,0.04641845],"genre_scores_gemma":[0.2711299,0.0001373755,0.7023013,0.002334295,0.00008842339,0.000001828014,0.000004506782,0.00001357632,0.02398883],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4966229,"threshold_uncertainty_score":0.9499071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107711924790518,"score_gpt":0.1757062487826411,"score_spread":0.1649350563035893,"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."}}