{"id":"W6906116518","doi":"10.15468/dl.pfk8ua","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); Range (aeronautics); Data set; Confidentiality","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":[0.001013905,0.002031339,0.001703282,0.005567767,0.0009813547,0.002717561,0.002946187,0.002068421,0.1580466],"category_scores_gemma":[0.006175441,0.0009241421,0.001227209,0.01092647,0.0004561596,0.002377809,0.002637492,0.002027442,0.2339455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161077,"about_ca_system_score_gemma":0.002375156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02140516,"about_ca_topic_score_gemma":0.03257244,"domain_scores_codex":[0.9988702,0.0001518969,0.0001478807,0.0004024615,0.0002453928,0.0001820995],"domain_scores_gemma":[0.9975225,0.0007044213,0.0002438565,0.0006502529,0.0006018463,0.0002770039],"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":[0.00002844044,0.00001000145,0.0003473555,0.0005361143,0.00001568588,0.00001401995,0.00002228946,0.0001239734,0.0001016698,0.0003792111,0.9969668,0.001454338],"study_design_scores_gemma":[0.00006784649,0.000007411589,0.001644455,0.0001933716,0.00001516546,0.00003679625,0.00006703719,0.000148084,0.0001751084,0.0007861993,0.9968417,0.00001691936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003719402,0.00003146433,0.00004435172,0.00003454982,0.00001171256,0.000004556118,0.9988661,0.0003825819,0.0005875299],"genre_scores_gemma":[0.0001492912,0.00003684214,0.0001748542,0.00004011113,0.000003345887,0.00003594489,0.9989819,0.0001452333,0.000432398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8419534,"threshold_uncertainty_score":0.5287186,"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."}}