{"id":"W6962229557","doi":"10.15468/dl.r9wp6t","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":"Range (aeronautics); Matching (statistics); Download; Homonym (biology); Broom","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":[0.0008817876,0.001992986,0.001595578,0.004898056,0.001019256,0.002677708,0.002774797,0.002086388,0.1477523],"category_scores_gemma":[0.005624307,0.0008952061,0.001427512,0.009313242,0.0004055175,0.002548578,0.002745603,0.00196729,0.2269501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614458,"about_ca_system_score_gemma":0.00213478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01817892,"about_ca_topic_score_gemma":0.03156618,"domain_scores_codex":[0.9989348,0.0001370313,0.0001398131,0.000378872,0.0002284823,0.0001809665],"domain_scores_gemma":[0.997826,0.0005630769,0.0001882805,0.0005938064,0.000577189,0.0002516148],"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":[0.00003462224,0.00001221006,0.0004600078,0.0006415466,0.000016988,0.00001718731,0.00002361302,0.0001432989,0.00013059,0.0003733159,0.996167,0.001979543],"study_design_scores_gemma":[0.00006997383,0.000009985816,0.001920551,0.000209252,0.00001458966,0.00004123872,0.00007612513,0.0002027558,0.0001747869,0.0007695687,0.9964941,0.00001714637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004879474,0.0000380832,0.0000520286,0.00004405111,0.00001553963,0.000006137887,0.9986125,0.0005019483,0.0006808954],"genre_scores_gemma":[0.0001590728,0.0000418838,0.0002213556,0.00005208483,0.000004220306,0.00003963739,0.9988922,0.0001397431,0.0004497143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8522477,"threshold_uncertainty_score":0.4942807,"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."}}