{"id":"W6962328377","doi":"10.15468/dl.jz8hyb","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); Data set; Reference data","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":[0.001021126,0.002031711,0.001691965,0.004994937,0.001033732,0.002710229,0.002908381,0.00214425,0.1808548],"category_scores_gemma":[0.006261767,0.0009555717,0.001187269,0.009701222,0.0004605506,0.002487877,0.002709255,0.002079843,0.2481729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515606,"about_ca_system_score_gemma":0.002341302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01862089,"about_ca_topic_score_gemma":0.03358496,"domain_scores_codex":[0.9989395,0.0001514717,0.0001318086,0.0003813992,0.0002238592,0.0001719623],"domain_scores_gemma":[0.997309,0.0007760733,0.0002485475,0.000721467,0.0006417221,0.0003030887],"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":[0.00002784812,0.00001085819,0.0003310608,0.0005541492,0.00001437658,0.00001346695,0.00002280534,0.0001158581,0.0001071533,0.0003658178,0.9971249,0.001311737],"study_design_scores_gemma":[0.00007093952,0.000007584748,0.001546227,0.0001847472,0.00001353715,0.00003093045,0.00006473405,0.0001303107,0.0001659261,0.0008405558,0.9969267,0.00001773982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003439825,0.00002364123,0.00004313076,0.00003186626,0.00001101261,0.000004988455,0.9988689,0.0003651028,0.0006169649],"genre_scores_gemma":[0.0001526562,0.00003238772,0.0002126705,0.00004651665,0.000003656592,0.00004607835,0.9988288,0.0001777608,0.0004994074],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8191452,"threshold_uncertainty_score":0.6050195,"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."}}