{"id":"W7084626210","doi":"","title":"A Numerical Rosenblatt Method for Forced Variable Independence","year":2025,"lang":"en","type":"article","venue":"ArXiv.org","topic":"Alexander von Humboldt Studies","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; Univerzita Karlova v Praze","keywords":"Random variable; Variable (mathematics); Observable; Hidden variable theory; Independence (probability theory); Numerical analysis","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":[0.002368247,0.0005692798,0.0007296344,0.0009298238,0.0007284248,0.00105305,0.002171252,0.001076674,0.007582249],"category_scores_gemma":[0.005136082,0.0004798659,0.0009375392,0.0006221226,0.001509355,0.001132901,0.001808507,0.001907101,0.002110016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009989842,"about_ca_system_score_gemma":0.002213095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003289558,"about_ca_topic_score_gemma":0.00411246,"domain_scores_codex":[0.9991639,0.0003084069,0.00002648535,0.00008329017,0.0003684307,0.00004965796],"domain_scores_gemma":[0.9982844,0.000897026,0.0001320379,0.0002598587,0.0003237897,0.0001027499],"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":[0.0001059616,0.0001054192,0.0007089739,0.0001758722,0.00005771659,0.0001368971,0.0001533243,0.3746947,0.009070046,0.542872,0.003635654,0.0682833],"study_design_scores_gemma":[0.00001471115,0.00001912174,0.00006254213,0.00001542315,0.000005410669,0.00003585193,0.000005934557,0.9596131,0.0008965974,0.03560103,0.003716809,0.00001344295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001177726,0.00006532898,0.9956619,0.00006804615,0.00004386147,0.00003275819,0.00002755251,0.0001498099,0.002773028],"genre_scores_gemma":[0.06164898,0.0001405233,0.9295788,0.000141349,0.00004223067,0.0002753843,0.00009512781,0.000272269,0.007805413],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007582249,"threshold_uncertainty_score":0.02536511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03245380044170355,"score_gpt":0.3210332544382309,"score_spread":0.2885794539965274,"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."}}