{"id":"W4399650373","doi":"10.32614/cran.package.fda","title":"fda: Functional Data Analysis","year":2003,"lang":"en","type":"dataset","venue":"","topic":"Mental Health Research Topics","field":"Psychology","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008495516,0.0002095864,0.0003955052,0.0005256821,0.0001022257,0.00003451575,0.001111625,0.0003805907,0.3821003],"category_scores_gemma":[0.00009610436,0.0001828693,0.00009841253,0.0008317672,0.0000695815,0.00005877043,0.0004446273,0.000712973,0.01551875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107028,"about_ca_system_score_gemma":0.0001824752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003510566,"about_ca_topic_score_gemma":0.003079482,"domain_scores_codex":[0.9972376,0.0003695647,0.0003865999,0.0008881278,0.000608154,0.0005100038],"domain_scores_gemma":[0.9953578,0.0001813621,0.0001151104,0.004041774,0.00004887067,0.0002551063],"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":[0.00002331758,0.0001792696,0.00009234388,0.00005365986,0.00120304,0.00004503677,0.000001788941,4.22752e-7,2.166357e-8,0.0003128887,0.9973631,0.0007251421],"study_design_scores_gemma":[0.0002076171,0.00003894639,0.001108583,0.000003042088,0.0004577808,0.000008714331,0.00002350061,0.000009290873,8.798371e-8,0.00003497505,0.9979508,0.0001566777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001242833,0.0004185227,0.0003208029,0.0002705548,0.001632848,0.0002473734,0.9762428,0.00002194745,0.02084389],"genre_scores_gemma":[5.546431e-7,0.0001214336,0.0002145247,0.001538004,0.0003537438,0.00004145456,0.9280609,0.00001075228,0.06965867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3665815,"threshold_uncertainty_score":0.9852478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4252632335428922,"score_gpt":0.5447923728346303,"score_spread":0.1195291392917381,"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."}}