{"id":"W6906122743","doi":"10.15468/dl.ycfmge","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 collection","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":[0.0009894911,0.00205107,0.001618444,0.005471251,0.001103196,0.002409264,0.002917125,0.002049112,0.1401407],"category_scores_gemma":[0.00579551,0.0008843847,0.001268824,0.01082443,0.0004472509,0.001978455,0.002467507,0.0019916,0.196945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002248675,"about_ca_system_score_gemma":0.003545312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05665705,"about_ca_topic_score_gemma":0.09530259,"domain_scores_codex":[0.9989267,0.0001341874,0.0001221532,0.0003505335,0.0002666068,0.0001997964],"domain_scores_gemma":[0.9971201,0.0006677459,0.0002310714,0.0007553431,0.0008791064,0.0003465865],"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":[0.00002857941,0.000009497157,0.000323906,0.0004783575,0.00001519573,0.00001267156,0.00001866419,0.0001133376,0.0001301012,0.0003211684,0.9971726,0.001375805],"study_design_scores_gemma":[0.0000642929,0.000006996584,0.001892516,0.0001892927,0.000014204,0.00002991047,0.00005490909,0.0001320796,0.0002001386,0.0006290617,0.9967686,0.0000180189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003744751,0.00003001211,0.00003628987,0.00003086238,0.00001045894,0.000005297786,0.9988986,0.0003660192,0.0005849545],"genre_scores_gemma":[0.0001378311,0.00003427059,0.0001663346,0.00003919636,0.00000290979,0.00003288825,0.9990595,0.0001214148,0.0004056189],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8598593,"threshold_uncertainty_score":0.4688173,"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."}}