{"id":"W6905655954","doi":"10.15468/dl.pkdwvw","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); 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":[0.001136854,0.001958398,0.001557917,0.004907035,0.001041772,0.002645528,0.002874895,0.001995692,0.1784552],"category_scores_gemma":[0.006443137,0.0009987268,0.001155128,0.009783085,0.0004639591,0.002268921,0.002653216,0.002060575,0.244071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001628817,"about_ca_system_score_gemma":0.002439871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02266126,"about_ca_topic_score_gemma":0.03724992,"domain_scores_codex":[0.9989034,0.0001427997,0.0001394867,0.0003805856,0.0002558731,0.0001778492],"domain_scores_gemma":[0.9973226,0.0007403704,0.0002411106,0.0007275246,0.0006627081,0.0003056685],"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":[0.00002362289,0.000009998766,0.0003244326,0.000434267,0.00001278723,0.00001315286,0.00002195967,0.0001060702,0.0001071295,0.0003637061,0.9973802,0.001202652],"study_design_scores_gemma":[0.00006547915,0.000006998444,0.001732117,0.0001629132,0.00001331027,0.00003435306,0.00006854948,0.0001267925,0.0001894406,0.0007204417,0.9968624,0.00001721913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003532303,0.00002036655,0.00004655256,0.00003398674,0.00001158586,0.000005096429,0.9988328,0.0003703808,0.0006439044],"genre_scores_gemma":[0.0001440805,0.00002748226,0.0002015331,0.00004119879,0.000003182216,0.00004261487,0.9988845,0.0001777624,0.0004776091],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8215448,"threshold_uncertainty_score":0.5969921,"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."}}