{"id":"W6961876307","doi":"10.15468/dl.qqp6a8","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); Alien; Feature (linguistics)","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":[0.001011187,0.00205412,0.001642956,0.004827389,0.001054688,0.002677368,0.002857934,0.002226465,0.1691184],"category_scores_gemma":[0.006456451,0.0009038114,0.001323539,0.008916405,0.000450826,0.002509277,0.002668129,0.002033727,0.2400155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576436,"about_ca_system_score_gemma":0.00239782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02158027,"about_ca_topic_score_gemma":0.03342928,"domain_scores_codex":[0.9989648,0.0001391059,0.0001287474,0.0003693053,0.0002249006,0.0001731162],"domain_scores_gemma":[0.9973901,0.0007848567,0.0002160753,0.0006721126,0.0006536132,0.0002833771],"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":[0.00002851899,0.00001175713,0.0003678307,0.0005495337,0.00001421238,0.00001558883,0.00002238095,0.000116529,0.0001127297,0.0003292534,0.9970126,0.001419022],"study_design_scores_gemma":[0.00007351147,0.000009648834,0.001843435,0.0002155757,0.00001539643,0.00003797364,0.00007951495,0.0001761735,0.000204006,0.0007872746,0.9965386,0.00001885703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004194125,0.00002832466,0.00004491634,0.00004108491,0.00001372116,0.000006092777,0.9987354,0.0004661677,0.0006223644],"genre_scores_gemma":[0.000157289,0.00003417055,0.00019615,0.0000511189,0.000003965613,0.00004549155,0.9988896,0.0001599988,0.0004621966],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8308816,"threshold_uncertainty_score":0.5657574,"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."}}