{"id":"W6931190166","doi":"10.5281/zenodo.4374396","title":"Gillenia trifoliata Moench 1794","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Tensor decomposition and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxon; Lauraceae; Bark (sound); Genus; Vitis vinifera","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008270466,0.0001215239,0.0001320504,0.0001923129,0.00159725,0.0003037966,0.0007118533,0.0000651048,0.0117612],"category_scores_gemma":[0.0004437062,0.0001265748,0.00006148323,0.000500932,0.00009398632,0.0001366507,0.0004104536,0.0002195202,0.008697292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009973422,"about_ca_system_score_gemma":0.000001891122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000054825,"about_ca_topic_score_gemma":4.255144e-7,"domain_scores_codex":[0.9986182,0.00010678,0.0003076628,0.0003082283,0.0003137141,0.000345415],"domain_scores_gemma":[0.9987155,0.00007113168,0.0001055208,0.0005292216,0.0003823962,0.0001962843],"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":[0.00005636052,0.0003277625,0.000003907473,0.00005111283,0.00004268508,0.00001475051,0.0008010588,0.000004009873,0.01028576,0.3316491,0.5930933,0.06367016],"study_design_scores_gemma":[0.0004512235,0.00006691963,0.000492867,0.00001357116,0.00001504936,0.0001063427,0.0002092401,0.00008512007,0.001560569,0.01071039,0.986131,0.0001577012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09463625,0.00007272405,0.1249463,0.002888204,0.0001649587,0.00111549,0.0003531533,0.003432201,0.7723907],"genre_scores_gemma":[0.985274,0.0000390031,0.00748954,0.000333476,0.0002669477,6.800559e-8,0.0007349928,0.001525466,0.0043365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8906378,"threshold_uncertainty_score":0.9997025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07399852000351889,"score_gpt":0.3152555322707648,"score_spread":0.2412570122672459,"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."}}