{"id":"W6905892661","doi":"10.15468/dl.nvsbw7","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); Order (exchange); Data set","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":[0.0009752134,0.002025345,0.001583582,0.004692418,0.0009922837,0.002406765,0.002848262,0.001940014,0.1515596],"category_scores_gemma":[0.005510082,0.0009584096,0.001179033,0.009486157,0.0004711268,0.002205472,0.002600739,0.002060218,0.2102416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603373,"about_ca_system_score_gemma":0.002305234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02355074,"about_ca_topic_score_gemma":0.0382718,"domain_scores_codex":[0.9990844,0.0001185487,0.0001159435,0.0003149494,0.0002086266,0.000157644],"domain_scores_gemma":[0.9978076,0.0006073768,0.0002074055,0.0006009884,0.0005230705,0.0002535671],"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":[0.00003139366,0.00001187376,0.0004074523,0.0005644875,0.00001594822,0.00001744011,0.00003169461,0.000142445,0.000156759,0.0004384554,0.9965875,0.001594425],"study_design_scores_gemma":[0.00006680679,0.00000707336,0.001765906,0.0001699479,0.00001335528,0.00003765175,0.00007689612,0.0001417754,0.000213112,0.0007237034,0.9967664,0.00001733095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004743024,0.00002493782,0.00005489447,0.00003261039,0.00001164623,0.000005398528,0.9986742,0.0004815688,0.0006674231],"genre_scores_gemma":[0.0001677797,0.00002954659,0.000230395,0.0000390262,0.000002883929,0.00004171854,0.9988851,0.0001910849,0.0004124826],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8484404,"threshold_uncertainty_score":0.5070174,"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."}}