{"id":"W6924053374","doi":"10.15468/dl.5spgmx","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data integration","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":[0.0009450489,0.001955225,0.001566156,0.005550612,0.0009440375,0.002480498,0.002691847,0.001847927,0.1516053],"category_scores_gemma":[0.00548662,0.0008860243,0.001122139,0.01078394,0.0004513967,0.002102765,0.002617828,0.001852597,0.2131709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595266,"about_ca_system_score_gemma":0.002464608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02354235,"about_ca_topic_score_gemma":0.03976688,"domain_scores_codex":[0.9989685,0.0001343144,0.0001363848,0.0003436032,0.0002374348,0.000179762],"domain_scores_gemma":[0.9976251,0.0005930745,0.0002406548,0.000639033,0.0006147681,0.0002874191],"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":[0.00003306374,0.00001165797,0.0004033651,0.0005810282,0.00001669588,0.00001576947,0.00002510976,0.0001340564,0.0001453433,0.0004083065,0.9966246,0.001601115],"study_design_scores_gemma":[0.00006542331,0.000007400664,0.001881401,0.0001760264,0.00001409584,0.00003431163,0.00006563704,0.000118571,0.0001961484,0.0007193877,0.996705,0.00001657592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004130961,0.00002545297,0.00003687425,0.00002791817,0.000009431235,0.000004720817,0.998946,0.0003163286,0.0005919887],"genre_scores_gemma":[0.0001499663,0.00003177012,0.0001692932,0.00003630837,0.000002991167,0.0000342305,0.9990381,0.000122956,0.0004143943],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8483948,"threshold_uncertainty_score":0.5071702,"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."}}