{"id":"W6906169074","doi":"10.15468/dl.y5fqrb","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); Set (abstract data type); 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":[0.0009778063,0.001975754,0.001643363,0.004691701,0.001029827,0.002575723,0.002858338,0.002150785,0.1550438],"category_scores_gemma":[0.005910447,0.0009029464,0.001177079,0.009297729,0.0004542975,0.002392001,0.002540527,0.002089282,0.2258568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751012,"about_ca_system_score_gemma":0.002376678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02318485,"about_ca_topic_score_gemma":0.03741927,"domain_scores_codex":[0.99901,0.0001290477,0.0001235468,0.0003459894,0.0002274671,0.0001639513],"domain_scores_gemma":[0.9977741,0.0006185943,0.0002067822,0.0005812922,0.0005692496,0.0002500665],"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":[0.00002969454,0.00001119802,0.0003733027,0.0005319352,0.00001450884,0.00001535131,0.00002460022,0.0001355018,0.0001236872,0.0004041443,0.9968339,0.00150221],"study_design_scores_gemma":[0.00007069527,0.000007773777,0.001736565,0.0001938461,0.0000135407,0.00003769357,0.00007353228,0.000170017,0.0001908578,0.0007941615,0.9966934,0.0000178878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000407426,0.00002705217,0.00004930644,0.00003539394,0.00001168919,0.000005153754,0.9987743,0.0004219518,0.0006343342],"genre_scores_gemma":[0.0001598185,0.00003210646,0.0002124212,0.00004279439,0.000003159976,0.00004065415,0.9989109,0.0001590423,0.0004390892],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8449562,"threshold_uncertainty_score":0.5186731,"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."}}