{"id":"W6961976747","doi":"10.15468/dl.q44t4n","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":[0.001015028,0.001925564,0.001673684,0.005010298,0.0009287175,0.002447541,0.00276011,0.002000037,0.1543195],"category_scores_gemma":[0.006222056,0.0009020701,0.001201651,0.01019758,0.0004345657,0.002133162,0.002429764,0.001932991,0.2054752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484226,"about_ca_system_score_gemma":0.002251568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02049605,"about_ca_topic_score_gemma":0.03277727,"domain_scores_codex":[0.998958,0.0001458241,0.000140186,0.0003591343,0.0002256457,0.0001711521],"domain_scores_gemma":[0.9974564,0.0007564161,0.0002395958,0.0006384051,0.0006258845,0.0002832543],"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":[0.00003274458,0.00001180968,0.0004247556,0.0006306271,0.00001812661,0.00001565774,0.0000237278,0.0001365422,0.0001238655,0.0003822652,0.9967492,0.001450569],"study_design_scores_gemma":[0.00008925088,0.000009218114,0.002140647,0.000219881,0.00001733505,0.00003798643,0.00007052762,0.0001508045,0.0001892465,0.0007867872,0.9962698,0.0000185375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003881185,0.00002670093,0.00003775175,0.00003038091,0.000009981082,0.000004812604,0.9990575,0.0002971343,0.0004969225],"genre_scores_gemma":[0.0001588485,0.00003338631,0.0001729724,0.00004060005,0.000003366846,0.00004154486,0.9990525,0.0001225094,0.0003743157],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8456805,"threshold_uncertainty_score":0.5162503,"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."}}