{"id":"W4320185827","doi":"10.2139/ssrn.4355729","title":"Partial Envelope Tensor Response Regression","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Envelope (radar); Regression; Mathematics; Tensor (intrinsic definition); Statistics; Computer science; Pure mathematics; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.001647777,0.00009555266,0.00009071785,0.0001415227,0.0003798307,0.0001280744,0.0005877888,0.00003188365,0.000006956547],"category_scores_gemma":[0.00005732051,0.00007886074,0.00007809089,0.0007780598,0.00001960207,0.0002278634,0.0001287737,0.0006438608,0.0005160628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002029896,"about_ca_system_score_gemma":0.001349363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005065462,"about_ca_topic_score_gemma":0.000005416447,"domain_scores_codex":[0.9980905,0.0001251326,0.0001873167,0.0002123349,0.0003009583,0.001083737],"domain_scores_gemma":[0.9992808,0.0001823449,0.00009850578,0.0002592977,0.00009445888,0.00008459873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005365773,0.00002955402,0.0001197126,8.61398e-7,0.00002494801,0.000006859002,0.0001760903,0.0007520483,0.001726865,0.9266754,0.002073353,0.06836064],"study_design_scores_gemma":[0.0003428414,0.000125391,0.007535364,0.00001068178,0.000004505208,0.0001939868,0.00009658772,0.02968667,0.0002870735,0.9317563,0.0297906,0.0001699842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1806153,0.0002134416,0.8004348,0.01756567,0.0003212302,0.0001237193,0.000001946858,0.0002863663,0.000437566],"genre_scores_gemma":[0.9958293,0.0003135994,0.001108148,0.000155862,0.0002390422,0.00001181228,0.000003804377,0.00001099362,0.002327371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8152141,"threshold_uncertainty_score":0.6633116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532969834488109,"score_gpt":0.281826903833466,"score_spread":0.2664972054885849,"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."}}