{"id":"W6943894871","doi":"10.15468/dl.zmfmhg","title":"Occurrence Download","year":2018,"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); Confidentiality","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":[0.001033282,0.001965364,0.001628814,0.006100227,0.000954412,0.002636496,0.002842761,0.001872098,0.1767808],"category_scores_gemma":[0.006457656,0.0008744756,0.001174848,0.01128475,0.0004254885,0.002432236,0.002946101,0.001985704,0.251139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551208,"about_ca_system_score_gemma":0.002505133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02090768,"about_ca_topic_score_gemma":0.03762797,"domain_scores_codex":[0.9988006,0.0001509357,0.0001518073,0.0004045641,0.0002862688,0.0002057642],"domain_scores_gemma":[0.9972305,0.0006733349,0.0002697379,0.0007231702,0.0007598399,0.000343351],"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":[0.00002506221,0.000008388513,0.000329629,0.0004826623,0.00001338679,0.00001194807,0.00001975928,0.00008586626,0.00009329098,0.0003287546,0.997262,0.001339202],"study_design_scores_gemma":[0.00005585409,0.000006857776,0.00167445,0.0001745353,0.00001288477,0.00003155145,0.00005982938,0.00009977781,0.0001555437,0.0006471808,0.9970668,0.00001473929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003530254,0.00002788568,0.00004069537,0.00003196941,0.00001116219,0.00000502999,0.9987885,0.000372912,0.0006865351],"genre_scores_gemma":[0.0001400353,0.00003475209,0.0001753793,0.00004305318,0.0000037228,0.00003584847,0.9989166,0.0001511805,0.0004994175],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8232192,"threshold_uncertainty_score":0.5913908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}