{"id":"W6886971020","doi":"10.15468/dl.k7hmav","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Metadata; Yellow birch","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":[0.0008583483,0.002071533,0.001633519,0.00514697,0.001192719,0.002774589,0.002922691,0.002262973,0.1621564],"category_scores_gemma":[0.005655723,0.000964243,0.00143814,0.009598539,0.0004618686,0.002593354,0.00277216,0.002173328,0.2376598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647659,"about_ca_system_score_gemma":0.002461209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02104216,"about_ca_topic_score_gemma":0.03527351,"domain_scores_codex":[0.9989648,0.0001361016,0.0001296346,0.0003761868,0.0002149038,0.0001782878],"domain_scores_gemma":[0.9977999,0.00059476,0.0001817973,0.0005987581,0.0005676951,0.0002570542],"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":[0.000029961,0.00001243755,0.0003853333,0.0005986539,0.00001486381,0.00001697117,0.0000241103,0.0001141873,0.0001279036,0.0003544308,0.996664,0.001657123],"study_design_scores_gemma":[0.00006669963,0.000008651858,0.001685506,0.0002082495,0.00001485382,0.00004389727,0.000075011,0.0001753422,0.0002016851,0.0007663607,0.9967367,0.00001709833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005518629,0.00004297851,0.00005522909,0.00004756516,0.00001696849,0.000007210514,0.9983774,0.0005484598,0.0008489242],"genre_scores_gemma":[0.0001688279,0.00004322856,0.0002169913,0.0000591813,0.000004198025,0.00004506163,0.9987642,0.0001665395,0.0005317618],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8378436,"threshold_uncertainty_score":0.5424672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}