{"id":"W6924551478","doi":"10.15468/dl.yk7wrb","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); Cryphonectria; Range (aeronautics); R package","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":[0.0009638288,0.001834268,0.001589823,0.005143711,0.0009450219,0.002592,0.002663588,0.001992185,0.1584398],"category_scores_gemma":[0.005919497,0.0008565489,0.001111679,0.01004496,0.0004283381,0.002288641,0.002460174,0.001909885,0.2119852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540557,"about_ca_system_score_gemma":0.002232603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01973613,"about_ca_topic_score_gemma":0.03300329,"domain_scores_codex":[0.9989855,0.0001373627,0.0001312493,0.0003526811,0.0002226727,0.0001705344],"domain_scores_gemma":[0.997604,0.0006792743,0.0002438926,0.0006046253,0.0005831924,0.0002850122],"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":[0.00002898946,0.00001062652,0.000401133,0.0005606585,0.00001487904,0.0000147988,0.00002221593,0.0001189379,0.0001158206,0.000385682,0.9969621,0.001364058],"study_design_scores_gemma":[0.00006967379,0.000007882409,0.001950209,0.0002002935,0.00001417364,0.00003612227,0.00007220516,0.0001323911,0.0001735742,0.0007418073,0.9965845,0.00001703036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003918736,0.00002629829,0.00003692997,0.00003250644,0.00001071819,0.000004513043,0.9989702,0.0002858173,0.0005938946],"genre_scores_gemma":[0.0001631489,0.00003437318,0.0001739137,0.00004377228,0.000003547484,0.00003929436,0.9989408,0.0001215407,0.0004797314],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8415602,"threshold_uncertainty_score":0.5300339,"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."}}