{"id":"W6962302090","doi":"10.15468/dl.rmk7sp","title":"Occurrence Download","year":2019,"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); Data set; Range (aeronautics); Set (abstract data type)","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":[0.0009849591,0.001899989,0.001538326,0.005184659,0.0009191578,0.002611448,0.002655885,0.001855253,0.1941925],"category_scores_gemma":[0.005972528,0.0009121304,0.001159272,0.00979017,0.0004238745,0.002509921,0.002872512,0.001907153,0.2570584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569577,"about_ca_system_score_gemma":0.002308171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02142025,"about_ca_topic_score_gemma":0.0378911,"domain_scores_codex":[0.9989355,0.0001397623,0.0001450825,0.0003718964,0.000226122,0.0001815913],"domain_scores_gemma":[0.9973483,0.0006924879,0.0002521466,0.0007188406,0.0006630886,0.0003250528],"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":[0.00003096235,0.000009577347,0.0003403511,0.0005364981,0.00001470404,0.00001378599,0.00002337805,0.00009899092,0.0001148462,0.0003985372,0.9969981,0.001420243],"study_design_scores_gemma":[0.00006493725,0.000007113048,0.001621013,0.000168441,0.00001227815,0.00003052783,0.00006158452,0.0001099741,0.0001707122,0.0007556172,0.9969823,0.0000156155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003371094,0.00002169165,0.00004105794,0.00003106661,0.00001046835,0.00000499105,0.9988187,0.0003896951,0.0006485971],"genre_scores_gemma":[0.0001446684,0.00003124487,0.0001881586,0.00004435145,0.000003518488,0.00003764838,0.9988886,0.0001761095,0.0004858073],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8058075,"threshold_uncertainty_score":0.6496385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}