{"id":"W6924831391","doi":"10.15468/dl.zsvq5v","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":"Matching (statistics); Download; Alien; Identification (biology); Range (aeronautics)","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":[0.001025989,0.002017785,0.001635212,0.005115088,0.001008358,0.002619947,0.002794653,0.002071656,0.1719908],"category_scores_gemma":[0.006373359,0.0009771464,0.001272118,0.01048866,0.0004498267,0.002280603,0.002660895,0.001955293,0.2224536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647015,"about_ca_system_score_gemma":0.002481247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02248176,"about_ca_topic_score_gemma":0.03489803,"domain_scores_codex":[0.9988575,0.0001524159,0.0001502658,0.0004043012,0.0002413916,0.0001941037],"domain_scores_gemma":[0.9974166,0.0007479903,0.0002511798,0.0006581022,0.0006367028,0.000289304],"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":[0.00003428175,0.0000105787,0.0003522585,0.0005894018,0.00001538961,0.00001389889,0.00002119051,0.0001196693,0.0001210399,0.0003900426,0.9969652,0.001367123],"study_design_scores_gemma":[0.0000800254,0.000009320353,0.001807007,0.0002077043,0.0000154877,0.00003390693,0.00006207127,0.0001275118,0.0001913838,0.0008246885,0.9966222,0.0000186327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003526678,0.00002443865,0.00003392569,0.00003138888,0.00001052381,0.000004690981,0.998984,0.0003060026,0.0005696733],"genre_scores_gemma":[0.0001446457,0.00003680968,0.0001769497,0.00004865031,0.000003290525,0.0000413497,0.9989292,0.0001484735,0.0004705238],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8280092,"threshold_uncertainty_score":0.5753665,"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."}}