{"id":"W6906124692","doi":"10.15468/dl.w5m7ye","title":"Occurrence Download","year":2022,"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); Column (typography); Order (exchange)","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":[0.0009810588,0.002069313,0.001660443,0.005245152,0.0009787505,0.002780326,0.002815859,0.002037832,0.1738541],"category_scores_gemma":[0.006001593,0.0009731983,0.001166228,0.01060862,0.0004284283,0.002549035,0.002620545,0.001990898,0.2465108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507197,"about_ca_system_score_gemma":0.0021179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01991718,"about_ca_topic_score_gemma":0.03134161,"domain_scores_codex":[0.9989562,0.0001385721,0.0001324321,0.0003681547,0.0002334808,0.0001711083],"domain_scores_gemma":[0.9975631,0.0006894096,0.0002256824,0.0006455724,0.0005914466,0.0002846362],"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":[0.00002642142,0.000009466924,0.0003070601,0.0004831752,0.0000137405,0.00001244242,0.00002025547,0.0001120631,0.00009423036,0.0003400942,0.9972179,0.00136316],"study_design_scores_gemma":[0.00006831696,0.000007390097,0.001648194,0.0001748496,0.0000131794,0.00003224192,0.00006477238,0.000142575,0.000154347,0.0007468035,0.9969311,0.00001626297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003404908,0.00002639571,0.00004333475,0.00003262788,0.00001144589,0.000004593904,0.9988361,0.0003832129,0.000628198],"genre_scores_gemma":[0.0001482068,0.00003399526,0.000182501,0.00004190122,0.000003673862,0.0000373674,0.9989172,0.0001708734,0.0004642092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8261459,"threshold_uncertainty_score":0.5816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}