{"id":"W6905796302","doi":"10.15468/dl.ucjf88","title":"Occurrence Download","year":2022,"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); Association (psychology); The Internet","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":[0.0009811069,0.001988312,0.001635932,0.005134813,0.0009855988,0.002568729,0.002776948,0.002058112,0.1559746],"category_scores_gemma":[0.006028914,0.0008840035,0.001130072,0.009855298,0.0004395858,0.002337801,0.002592916,0.001976628,0.2224804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480606,"about_ca_system_score_gemma":0.002337768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01920527,"about_ca_topic_score_gemma":0.03237356,"domain_scores_codex":[0.9989651,0.0001375741,0.000128647,0.00036806,0.0002310774,0.0001695339],"domain_scores_gemma":[0.9976147,0.0006687758,0.000230093,0.0006044473,0.0005885474,0.000293406],"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":[0.00002955916,0.00001089485,0.0003794311,0.0005528918,0.00001545153,0.00001531631,0.00002324455,0.0001184407,0.000119994,0.0003807039,0.9969637,0.001390344],"study_design_scores_gemma":[0.00006874941,0.000007621091,0.001736974,0.0001933664,0.00001415994,0.00003681885,0.00006720117,0.0001335211,0.0001865877,0.0007877444,0.9967501,0.00001718196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003930903,0.00002905834,0.00004251293,0.00003352971,0.00001145262,0.000004862536,0.9988469,0.0003638823,0.0006285002],"genre_scores_gemma":[0.0001599357,0.00003416788,0.0001877156,0.00004516289,0.000003534272,0.00003920592,0.9989306,0.0001460754,0.0004536198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8440254,"threshold_uncertainty_score":0.521787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}