{"id":"W6905791584","doi":"10.15468/dl.s9dez5","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); Set (abstract data type); 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":[0.001000161,0.001860902,0.001629656,0.005165567,0.000918741,0.002424574,0.002688185,0.00197444,0.1539935],"category_scores_gemma":[0.006150117,0.0008753101,0.001167034,0.01053063,0.0004294198,0.002135007,0.002363424,0.001878147,0.2062553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511811,"about_ca_system_score_gemma":0.002265444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02096385,"about_ca_topic_score_gemma":0.03397488,"domain_scores_codex":[0.9989561,0.0001426194,0.0001457135,0.0003525841,0.0002321096,0.0001708829],"domain_scores_gemma":[0.9974385,0.0007439321,0.0002457542,0.0006452533,0.0006433338,0.0002830748],"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":[0.00003253302,0.0000116409,0.0004205796,0.0006225914,0.00001696025,0.00001623402,0.00002373552,0.0001412313,0.0001272762,0.0003936419,0.9966838,0.001509659],"study_design_scores_gemma":[0.00008211639,0.000009009183,0.002124578,0.0002141998,0.00001602762,0.00003794216,0.00006944613,0.0001499836,0.0001869653,0.0007719299,0.9963195,0.00001817593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003854757,0.00002505744,0.00003653323,0.00002940781,0.000009499066,0.000004713136,0.9990646,0.0002859834,0.0005055823],"genre_scores_gemma":[0.0001536434,0.00003220015,0.0001675369,0.00003937577,0.000003240057,0.00003940398,0.9990628,0.0001154028,0.0003863138],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8460065,"threshold_uncertainty_score":0.5151595,"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."}}