{"id":"W7107966767","doi":"10.15468/dl.9de8b4","title":"Occurrence Download","year":2025,"lang":"","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); Polygon (computer graphics); 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":[0.0008947061,0.001787614,0.001641042,0.00535485,0.001062367,0.00286002,0.002736139,0.002027655,0.1982993],"category_scores_gemma":[0.006663302,0.0009366335,0.001197742,0.01008425,0.0003895654,0.002612948,0.002643127,0.001933258,0.2551733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714575,"about_ca_system_score_gemma":0.002492886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02221138,"about_ca_topic_score_gemma":0.03493598,"domain_scores_codex":[0.998881,0.000138119,0.0001489311,0.0003958562,0.0002491549,0.0001869137],"domain_scores_gemma":[0.9974382,0.0007006454,0.0002356896,0.0006311516,0.000714722,0.0002795464],"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":[0.00002884635,0.000009417756,0.0003980125,0.0006017135,0.0000144257,0.0000145861,0.00002216251,0.000108129,0.0001010368,0.0004017848,0.9964715,0.001828261],"study_design_scores_gemma":[0.0000545713,0.000006619814,0.001549248,0.0001966455,0.00001265744,0.00003176554,0.00006885747,0.0001291764,0.0001533019,0.0006622808,0.9971198,0.00001517591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000367002,0.0000319865,0.00004643058,0.00003896116,0.00001215187,0.0000046248,0.9986641,0.0004293896,0.0007355688],"genre_scores_gemma":[0.000174316,0.00004547929,0.0002208031,0.00005344709,0.000004091746,0.00003974423,0.9986538,0.0001778667,0.0006304637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8017007,"threshold_uncertainty_score":0.6633773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}