{"id":"W4312070532","doi":"10.1002/env.2784","title":"Estimating functional single index models with compact support","year":2022,"lang":"en","type":"article","venue":"Environmetrics","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nonlinear system; Function (biology); Index (typography); Single-index model; Scalar (mathematics); Mathematics; Applied mathematics; Computer science; Statistics; Mathematical optimization; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00660771,0.001178119,0.001936482,0.001507943,0.0004606636,0.001713887,0.002455065,0.001880713,0.001170959],"category_scores_gemma":[0.02757756,0.00092856,0.00125514,0.001040909,0.001865158,0.002450953,0.00193103,0.001786834,0.0002581705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155867,"about_ca_system_score_gemma":0.0009168416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008475893,"about_ca_topic_score_gemma":0.004113151,"domain_scores_codex":[0.9976569,0.001246012,0.00009463071,0.0004910416,0.0003585375,0.0001527718],"domain_scores_gemma":[0.9729657,0.02183285,0.002065605,0.001501023,0.001336945,0.0002977749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008170482,0.00004675712,0.002470852,0.00005355508,0.0000492938,0.00009071273,0.00004361611,0.9739281,0.0008370276,0.01188597,0.0002347714,0.01027768],"study_design_scores_gemma":[0.000001420559,0.000006324688,0.0001327123,0.000001860443,0.000001815556,0.000003899289,0.000003028888,0.997701,0.0000656144,0.002055721,0.00002381828,0.000002879884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0773174,0.0001649851,0.9215696,0.0001447336,0.00001689973,0.00002862498,0.0001151084,0.0001763513,0.0004662341],"genre_scores_gemma":[0.9043748,0.0001681892,0.09324777,0.00008320261,0.00005079128,0.0001352254,0.0004935366,0.000062854,0.001383583],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008475893,"threshold_uncertainty_score":0.03494531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08326067718766723,"score_gpt":0.2395654310660413,"score_spread":0.1563047538783741,"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."}}