{"id":"W6961926386","doi":"10.15468/dl.27je2e","title":"Occurrence Download","year":2024,"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","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":[0.00105565,0.002008115,0.001633118,0.005902876,0.001008488,0.002689753,0.00276481,0.001991677,0.1673778],"category_scores_gemma":[0.006205881,0.0009513507,0.001215746,0.01121616,0.0004733877,0.002352821,0.002834129,0.001992061,0.2330462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706782,"about_ca_system_score_gemma":0.002685343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02503994,"about_ca_topic_score_gemma":0.04117301,"domain_scores_codex":[0.998817,0.0001587803,0.0001632569,0.0003875076,0.0002696,0.0002039719],"domain_scores_gemma":[0.9971015,0.0007621749,0.0002839518,0.0007595985,0.0007534027,0.0003393879],"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":[0.00003064883,0.00001058416,0.0003561066,0.0005780176,0.00001527899,0.00001452964,0.00002309752,0.0001105454,0.0001211211,0.0003773194,0.9969716,0.00139113],"study_design_scores_gemma":[0.00006543392,0.00000763245,0.0017857,0.0001938179,0.0000140313,0.00003330892,0.00006549117,0.00010404,0.0001752207,0.0006755256,0.9968629,0.00001689974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003491179,0.00002438717,0.00003428316,0.00003138621,0.00001027781,0.000005026959,0.9989399,0.000306116,0.000613649],"genre_scores_gemma":[0.0001381307,0.0000344931,0.0001641039,0.00004446943,0.000003340307,0.00003613075,0.9989817,0.0001322504,0.0004654338],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8326222,"threshold_uncertainty_score":0.5599345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}