{"id":"W6943329979","doi":"10.15468/dl.rvfmuc","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":[0.0009773122,0.002053768,0.001593873,0.004889497,0.001018395,0.002582367,0.002789462,0.0022324,0.1493325],"category_scores_gemma":[0.006058736,0.0008870689,0.00131673,0.008887592,0.0004464305,0.002324666,0.002469636,0.001990053,0.2118536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558412,"about_ca_system_score_gemma":0.002268621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02179406,"about_ca_topic_score_gemma":0.03436257,"domain_scores_codex":[0.9989961,0.0001434614,0.0001256882,0.000353889,0.0002168807,0.0001640964],"domain_scores_gemma":[0.9975507,0.000751929,0.0002059615,0.0006307883,0.0005972072,0.0002634818],"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":[0.00003000545,0.00001326138,0.0004205768,0.0005770208,0.00001529272,0.00001726436,0.00002345342,0.0001375216,0.0001215969,0.0003302711,0.9968669,0.001446908],"study_design_scores_gemma":[0.00008452807,0.00001115202,0.002218437,0.000232373,0.00001722582,0.0000452507,0.00008954326,0.0002212346,0.0002166768,0.0008444634,0.9959986,0.00002061916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005049072,0.00003196352,0.0000459543,0.00004245801,0.00001411962,0.000006389424,0.9987617,0.0004402195,0.0006067974],"genre_scores_gemma":[0.0001789851,0.00003551976,0.000206981,0.00005005083,0.000004139184,0.00004817575,0.9988888,0.000141598,0.0004458398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8506675,"threshold_uncertainty_score":0.4995669,"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."}}