{"id":"W6961842589","doi":"10.15468/dl.ykebim","title":"Occurrence Download","year":2020,"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); Data set; Set (abstract data type)","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":[0.0009901923,0.00204168,0.001610029,0.005435299,0.001093777,0.002804871,0.00290727,0.002131619,0.1827056],"category_scores_gemma":[0.006888747,0.0009807845,0.001336483,0.0110446,0.0004498816,0.002585644,0.002703171,0.001950335,0.248923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001855912,"about_ca_system_score_gemma":0.002734242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02902233,"about_ca_topic_score_gemma":0.04541973,"domain_scores_codex":[0.9988018,0.0001516848,0.0001601594,0.0004001048,0.0002774618,0.0002088432],"domain_scores_gemma":[0.9972047,0.0007776261,0.0002399289,0.0006905363,0.000784884,0.0003022959],"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":[0.00003121467,0.000009745665,0.0004040296,0.0005788294,0.00001453011,0.00001655774,0.00002450457,0.0001366654,0.0001118263,0.0004073552,0.9964898,0.001775033],"study_design_scores_gemma":[0.00005735614,0.000007100315,0.001610642,0.0001937288,0.00001237859,0.00003764483,0.00007527692,0.0001537003,0.0001696073,0.0007130005,0.9969521,0.0000175371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003801345,0.00002979203,0.00005022846,0.00003691558,0.00001243501,0.00000454678,0.9986076,0.0004790898,0.0007413911],"genre_scores_gemma":[0.0001581562,0.00003720468,0.0002161099,0.000046777,0.000003458654,0.00003388969,0.9988112,0.0001707592,0.0005224387],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8172944,"threshold_uncertainty_score":0.611211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}