{"id":"W6887144646","doi":"10.15468/dl.sv2wpx","title":"Occurrence Download","year":2023,"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); Alien; Range (aeronautics); Information privacy; Data collection","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":[0.0009554078,0.001852983,0.001573307,0.005209311,0.00100352,0.002770761,0.002714087,0.002055055,0.1890733],"category_scores_gemma":[0.006026329,0.0009071783,0.00123293,0.009959511,0.0004305106,0.002434512,0.002600504,0.002006551,0.2672421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657869,"about_ca_system_score_gemma":0.002407949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02252744,"about_ca_topic_score_gemma":0.03586174,"domain_scores_codex":[0.9989993,0.0001361862,0.0001261272,0.0003432375,0.0002243208,0.0001707847],"domain_scores_gemma":[0.997587,0.0007017297,0.0002145668,0.0006031396,0.0006261799,0.0002674548],"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":[0.00002557983,0.00000999401,0.0003317069,0.0005297869,0.00001242603,0.00001396853,0.00002276986,0.0001011963,0.0001010471,0.0003625574,0.9970028,0.001486148],"study_design_scores_gemma":[0.00005905525,0.00000740265,0.001637164,0.0002022923,0.00001297101,0.00003313132,0.00007169625,0.0001261709,0.0001645554,0.0007262185,0.9969431,0.00001623422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003557696,0.00002781719,0.00004208446,0.00003914788,0.00001214251,0.000005414541,0.9987405,0.0003687712,0.0007287138],"genre_scores_gemma":[0.0001497398,0.00003975763,0.000201379,0.00005002253,0.00000389825,0.00004662145,0.9987286,0.0001642678,0.0006158662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8109267,"threshold_uncertainty_score":0.6325132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}