{"id":"W6943411768","doi":"10.15468/dl.ry2jbx","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); Ambrosia artemisiifolia; Range (aeronautics); 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":[0.001137027,0.001952257,0.001632311,0.005280237,0.001026758,0.002719632,0.00293925,0.002079957,0.1610614],"category_scores_gemma":[0.006807826,0.0009554912,0.001191334,0.01028246,0.0004633777,0.00236253,0.002574709,0.002014973,0.2243524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016399,"about_ca_system_score_gemma":0.002492822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02285572,"about_ca_topic_score_gemma":0.03615427,"domain_scores_codex":[0.9988136,0.0001648811,0.0001595308,0.0004133264,0.0002621546,0.0001864329],"domain_scores_gemma":[0.9971336,0.0008183034,0.0002725069,0.0007449981,0.000719459,0.0003109658],"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":[0.00002700615,0.00001022267,0.000359849,0.0005162606,0.00001496022,0.00001416184,0.00002254401,0.0001148246,0.000102749,0.0003576321,0.9971939,0.001265881],"study_design_scores_gemma":[0.00006909071,0.000007434577,0.001825912,0.0001975102,0.00001517253,0.00003661577,0.00007385552,0.0001448497,0.0001768592,0.0007541468,0.9966804,0.00001811475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000336195,0.00002378198,0.00004001513,0.000033066,0.00001066976,0.000004661033,0.9989785,0.0003235129,0.0005522154],"genre_scores_gemma":[0.000147252,0.00003079205,0.0001799327,0.0000414096,0.000003267854,0.00003995651,0.9990022,0.0001407975,0.0004144511],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8389386,"threshold_uncertainty_score":0.5388041,"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."}}