{"id":"W6924519445","doi":"10.15468/dl.muv4ax","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Feature (linguistics); China","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002436496,0.0002788357,0.0002168858,0.00004631488,0.0001611999,0.00004429569,0.0005240227,0.0005788767,0.0003888631],"category_scores_gemma":[0.0003009725,0.0002778589,0.0001246607,0.0001173277,0.0003483385,0.00002327149,0.0005083577,0.0001489201,0.05679511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008749463,"about_ca_system_score_gemma":0.0001707693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001308835,"about_ca_topic_score_gemma":0.00002342704,"domain_scores_codex":[0.9987367,0.00008082307,0.0002776445,0.0004109661,0.0002059277,0.0002878911],"domain_scores_gemma":[0.9985678,0.000004103547,0.000253885,0.0007327678,0.0003285655,0.000112931],"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":[0.0001516906,0.0000275717,0.00112172,0.00004844391,0.00005517861,9.374446e-7,0.000004238041,9.18695e-7,0.00003090146,1.868202e-8,0.9983066,0.0002517961],"study_design_scores_gemma":[0.0002298338,0.0001556996,0.0001410434,0.000001101305,0.00003066795,0.00002066513,0.00001582347,1.186134e-8,0.0003220843,3.517536e-7,0.998792,0.0002907539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006428079,0.00004428433,0.000004447492,0.00005439801,0.000708778,0.0002477159,0.9924113,0.00002382917,0.00007719771],"genre_scores_gemma":[0.00003408705,0.0001200719,0.000003039705,0.0004140927,0.00001408352,0.000003860724,0.9994105,1.731677e-8,3.169059e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05640625,"threshold_uncertainty_score":0.9999673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096736587246872,"score_gpt":0.2202993381119701,"score_spread":0.2093319722395014,"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."}}