{"id":"W6924854640","doi":"10.15468/dl.rhnjda","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","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":[0.000986371,0.001986595,0.001575043,0.004777997,0.001026861,0.002653321,0.002852852,0.002139511,0.1712963],"category_scores_gemma":[0.006021384,0.0009288657,0.001255865,0.008911961,0.0004429173,0.002388215,0.002550855,0.002051595,0.2272555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599074,"about_ca_system_score_gemma":0.002311018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02216744,"about_ca_topic_score_gemma":0.03441793,"domain_scores_codex":[0.9990237,0.0001375769,0.000117989,0.0003502983,0.0002089699,0.0001614374],"domain_scores_gemma":[0.997621,0.0007249974,0.000201573,0.0006176945,0.0005729556,0.0002617564],"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":[0.00002647539,0.00001193509,0.0003748912,0.000528061,0.00001434648,0.000014956,0.00002378278,0.0001230526,0.0001101931,0.0003658755,0.9970835,0.00132286],"study_design_scores_gemma":[0.00007562163,0.000008596288,0.00189695,0.0002079425,0.00001498723,0.00003720373,0.00008066835,0.000167497,0.000190805,0.0008206666,0.9964804,0.00001866017],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004102725,0.00002705203,0.00004449904,0.00003940916,0.00001269002,0.000005948803,0.9988159,0.0003851473,0.0006282955],"genre_scores_gemma":[0.0001668807,0.00003487371,0.0001997977,0.00005109617,0.00000378498,0.00005059589,0.998834,0.000157803,0.0005012965],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8287037,"threshold_uncertainty_score":0.5730432,"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."}}