{"id":"W6987759009","doi":"","title":"TWO INCOMPATIBLE OBJECTIVES WITH INDIVIDUAL RESERVE
\\nMODELS: AN APPROACH WITH MULTIVARIATE ADAPTATIVE
\\nREGRESSION SPLINE MODELS","year":2021,"lang":"en","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multivariate statistics; Spline (mechanical); Smoothing spline; Context (archaeology); Measure (data warehouse); Class (philosophy)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.008554294,0.00119886,0.001782068,0.001465127,0.00147553,0.003526751,0.003823001,0.002648894,0.006585828],"category_scores_gemma":[0.02582245,0.001366524,0.002481641,0.002445795,0.002458698,0.002569856,0.004269775,0.004394099,0.0008443089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001803239,"about_ca_system_score_gemma":0.003070673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01912298,"about_ca_topic_score_gemma":0.02642881,"domain_scores_codex":[0.9955044,0.003218304,0.0001055062,0.000467032,0.000492801,0.0002118774],"domain_scores_gemma":[0.9902025,0.006673125,0.0006891225,0.001273848,0.0008409931,0.000320257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003374255,0.00006527922,0.001390715,0.0000622677,0.0001098346,0.0001843032,0.0002587885,0.2079486,0.0002734034,0.7424428,0.003512471,0.04371768],"study_design_scores_gemma":[0.00001017887,0.00002226889,0.0003407031,0.00003135249,0.00003642086,0.00004235851,0.00007020465,0.708228,0.0002299061,0.2858332,0.005129505,0.0000258561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006256829,0.0001204752,0.9883762,0.0007081712,0.0000450578,0.00001938814,0.00007701151,0.0001175914,0.004279142],"genre_scores_gemma":[0.2897172,0.0005230885,0.6782284,0.0005194939,0.0003452549,0.000233032,0.0003369098,0.0007042037,0.02939247],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01912298,"threshold_uncertainty_score":0.04523998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05196784457482801,"score_gpt":0.2783356685697769,"score_spread":0.2263678239949489,"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."}}