{"id":"W6887338278","doi":"10.15468/dl.wy8vnf","title":"Occurrence Download","year":2021,"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); Lithobates; 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":[0.0008140671,0.001845263,0.001427027,0.004531036,0.0009049579,0.002414161,0.002516086,0.001845262,0.149943],"category_scores_gemma":[0.005306977,0.0008459972,0.001199313,0.009528379,0.0004071912,0.002219124,0.002317922,0.001910091,0.2239877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595907,"about_ca_system_score_gemma":0.002305642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02638077,"about_ca_topic_score_gemma":0.04346217,"domain_scores_codex":[0.999106,0.0001165164,0.0001083074,0.0003240664,0.0001947552,0.0001503952],"domain_scores_gemma":[0.9978496,0.0005835391,0.0002022809,0.0005450479,0.0005684439,0.0002510498],"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":[0.00002459038,0.000009482044,0.0003920708,0.0005031092,0.00001370079,0.00001315964,0.00002051636,0.0001323519,0.00009129099,0.0003310138,0.9969472,0.00152153],"study_design_scores_gemma":[0.00006113698,0.000007337846,0.001869272,0.0001849532,0.00001351384,0.00003237955,0.00006592955,0.000171681,0.0001638048,0.0007124362,0.9967018,0.00001584736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003922851,0.00002828457,0.00004270973,0.0000346856,0.00001184646,0.000005061321,0.9987963,0.0003797203,0.0006619907],"genre_scores_gemma":[0.0001619991,0.00003723676,0.0001964141,0.00004571176,0.000003769681,0.00003939109,0.9988711,0.0001387345,0.0005054938],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8500569,"threshold_uncertainty_score":0.5016094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}