{"id":"W6905650850","doi":"10.15468/dl.k7hft8","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; Set (abstract data type); Range (aeronautics); 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":[0.0009077295,0.002053817,0.001612511,0.005133446,0.000961189,0.002572648,0.002758071,0.001928479,0.1645048],"category_scores_gemma":[0.005601857,0.0009776824,0.001160671,0.01015845,0.0004269636,0.002304334,0.002611788,0.001906162,0.2273503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486083,"about_ca_system_score_gemma":0.002311658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01969985,"about_ca_topic_score_gemma":0.03355601,"domain_scores_codex":[0.9989173,0.0001441146,0.0001398931,0.0003904287,0.000227394,0.0001807715],"domain_scores_gemma":[0.9975402,0.0006562911,0.0002435422,0.0006515277,0.0006150802,0.000293423],"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":[0.00003499224,0.00001149964,0.0003734575,0.0005533181,0.00001501112,0.00001395983,0.00002090425,0.000111744,0.000125951,0.0003877171,0.9969705,0.001380925],"study_design_scores_gemma":[0.0000764155,0.000009155262,0.001830998,0.0001743848,0.0000144958,0.00003485,0.00005935386,0.0001281568,0.0001824145,0.0007719793,0.9966994,0.00001838537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003807904,0.00002418843,0.00003652284,0.00002870237,0.00001046428,0.00000461834,0.9989435,0.0003155041,0.0005984182],"genre_scores_gemma":[0.0001402579,0.00003243972,0.0001686198,0.00004633072,0.000003357764,0.00003721993,0.9989587,0.0001319359,0.0004810611],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8354952,"threshold_uncertainty_score":0.5503234,"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."}}