{"id":"W6887116360","doi":"10.15468/dl.q5q63f","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); 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":[0.00103035,0.001944379,0.001549408,0.004793741,0.001001372,0.002486343,0.002832151,0.002008791,0.1555297],"category_scores_gemma":[0.005983568,0.0009500526,0.00119105,0.0096554,0.0004640588,0.002242625,0.00255407,0.002060773,0.2072745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636924,"about_ca_system_score_gemma":0.002389384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02443964,"about_ca_topic_score_gemma":0.03901661,"domain_scores_codex":[0.99901,0.0001296019,0.0001287984,0.0003434874,0.0002213983,0.0001666733],"domain_scores_gemma":[0.9975981,0.0006973913,0.0002247146,0.0006218473,0.000579333,0.000278609],"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":[0.00002969949,0.0000113796,0.0003925028,0.0005343691,0.00001502639,0.00001564774,0.00002740751,0.0001326142,0.000133995,0.0004249037,0.9968689,0.001413447],"study_design_scores_gemma":[0.00007094671,0.000007392562,0.001816003,0.0001843917,0.00001419814,0.00003657816,0.00007762733,0.0001490106,0.0001998105,0.0007666004,0.9966598,0.00001777615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004100868,0.00002317998,0.00004899397,0.00003322,0.00001145916,0.000005108781,0.9988331,0.0003879576,0.0006160328],"genre_scores_gemma":[0.0001572369,0.0000301526,0.0002118827,0.00004156728,0.000002933712,0.00004098818,0.9989311,0.0001677739,0.000416473],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8444703,"threshold_uncertainty_score":0.5202986,"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."}}