{"id":"W6962250833","doi":"10.15468/dl.wk5rtk","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009582046,0.001973429,0.00154329,0.005051663,0.0009874061,0.002502301,0.002686359,0.001915694,0.1724321],"category_scores_gemma":[0.006081412,0.0009414994,0.00116968,0.01021895,0.0004590039,0.002187052,0.002550726,0.001832257,0.2235629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477396,"about_ca_system_score_gemma":0.00235469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02015986,"about_ca_topic_score_gemma":0.03231666,"domain_scores_codex":[0.99898,0.0001379985,0.0001317441,0.0003654552,0.0002097306,0.0001751581],"domain_scores_gemma":[0.9975621,0.0007052739,0.0002332119,0.0006252357,0.0005976279,0.0002765894],"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":[0.00003216563,0.00001149684,0.000389574,0.000553802,0.00001430141,0.00001459001,0.00002307755,0.0001310373,0.0001267195,0.0003755877,0.9968304,0.001497324],"study_design_scores_gemma":[0.00007610146,0.000009672262,0.00180445,0.000184478,0.00001451871,0.00003538567,0.00006874079,0.0001396965,0.0001871811,0.0007834088,0.9966784,0.00001808118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004652107,0.00002539421,0.00004118489,0.00003239882,0.00001226383,0.000005124366,0.9988236,0.0003666599,0.0006467841],"genre_scores_gemma":[0.000167108,0.00003344555,0.0001966696,0.00004564691,0.000003504852,0.00004333641,0.9988667,0.0001610459,0.0004824715],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8275679,"threshold_uncertainty_score":0.5768427,"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."}}