{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006222524,0.0009826903,0.0004509668,0.001755919,0.0009728363,0.0002908416,0.0004354263,0.000430227,0.02308755],"category_scores_gemma":[0.0001823927,0.0001912458,0.0002420255,0.0007694073,0.0002491603,0.0008259616,0.0005709708,0.0005449758,0.01214077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003755082,"about_ca_system_score_gemma":0.0002053939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008824562,"about_ca_topic_score_gemma":0.0195681,"domain_scores_codex":[0.9999084,0.00000554933,0.000009276961,0.00002914843,0.00002901497,0.00001858737],"domain_scores_gemma":[0.999916,0.00001052824,0.00002630274,0.00000518957,0.00002235501,0.00001960631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004936486,0.0002091303,0.01884292,0.0009085724,0.0001356591,0.004127788,0.001566058,0.0006079775,0.1400402,0.004902598,0.06501155,0.7631539],"study_design_scores_gemma":[0.00009864955,0.0006905781,0.2891966,0.000347728,0.0002625134,0.01937996,0.001534181,0.0007133785,0.01378502,0.001694671,0.6722026,0.00009414221],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3596849,0.01682412,0.006611042,0.001828885,0.001377328,0.0004562191,0.01225365,0.002642474,0.5983215],"genre_scores_gemma":[0.8363375,0.005155607,0.003771398,0.0007435734,0.0002043893,0.0001202985,0.005658883,0.000163664,0.1478448],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02308755,"threshold_uncertainty_score":0.07723558,"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."}}