{"id":"W6962831714","doi":"10.15468/dl.k38jkb","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":"Matching (statistics); Identification (biology); Range (aeronautics); Download; Data set","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":[0.0009462076,0.002078586,0.001629918,0.005175479,0.001041817,0.002607925,0.002835985,0.002063755,0.167211],"category_scores_gemma":[0.005995167,0.000976475,0.001193166,0.0101497,0.0004485674,0.002421744,0.002573221,0.00196848,0.2235548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618661,"about_ca_system_score_gemma":0.00236735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02082537,"about_ca_topic_score_gemma":0.03546948,"domain_scores_codex":[0.9988909,0.0001526687,0.000145414,0.0003977756,0.0002313579,0.0001818885],"domain_scores_gemma":[0.9975532,0.0006893929,0.0002352026,0.0006136844,0.0006282324,0.0002802756],"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":[0.00003248383,0.00001126706,0.000353458,0.0005804658,0.00001451415,0.00001479574,0.00002101053,0.0001141215,0.000121327,0.0003792207,0.9969806,0.001376676],"study_design_scores_gemma":[0.00007440766,0.000009091103,0.00171103,0.00019412,0.0000147136,0.00003726265,0.00006124303,0.0001254146,0.0001817434,0.0007590942,0.9968135,0.00001845361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003984981,0.00002953822,0.00003924869,0.00003306871,0.00001189463,0.000004929698,0.9988717,0.0003070158,0.0006625567],"genre_scores_gemma":[0.0001483763,0.00003618332,0.0001793581,0.00004711932,0.000003548531,0.00004023355,0.9989098,0.0001330671,0.0005023204],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.832789,"threshold_uncertainty_score":0.5593766,"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."}}