{"id":"W4395718399","doi":"10.15468/dl.bfz3b7","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Plant chemical constituents analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001048575,0.001957357,0.00158166,0.004778153,0.0009855602,0.002597785,0.002863995,0.002110711,0.1358705],"category_scores_gemma":[0.00576026,0.0008653991,0.001141149,0.009301014,0.0004557097,0.002135403,0.002362268,0.002078645,0.192773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623355,"about_ca_system_score_gemma":0.002381782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02353585,"about_ca_topic_score_gemma":0.03861482,"domain_scores_codex":[0.9989741,0.000140822,0.0001336023,0.000356331,0.0002383068,0.0001568304],"domain_scores_gemma":[0.9976272,0.0006874107,0.0002303886,0.0005802424,0.0006017396,0.0002730193],"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":[0.00003595252,0.00001378613,0.0004394285,0.0005747874,0.00001721135,0.00001829003,0.00002481326,0.0001550668,0.0001302274,0.0004090726,0.9967223,0.001459189],"study_design_scores_gemma":[0.0000845647,0.000008254524,0.001919299,0.0001839314,0.00001474044,0.0000348096,0.00007080235,0.0001801021,0.0001947051,0.0007454387,0.9965461,0.00001729459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004046198,0.00002311094,0.00004025372,0.00003158345,0.000009598179,0.000004849077,0.998998,0.0003113432,0.0005408069],"genre_scores_gemma":[0.000151397,0.00003014608,0.0001900774,0.00003720316,0.000002901725,0.00003641469,0.9990247,0.0001211575,0.0004059662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8641295,"threshold_uncertainty_score":0.4545321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590872681302274,"score_gpt":0.194415807784297,"score_spread":0.1785070809712742,"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."}}