{"id":"W6962214118","doi":"10.15468/dl.sgcmbx","title":"Occurrence Download","year":2023,"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); Identification (biology); Confidentiality","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":[0.0009107894,0.00194627,0.001520532,0.004604963,0.0009282632,0.002290246,0.002746206,0.001956986,0.1359092],"category_scores_gemma":[0.005312074,0.0008795019,0.001170894,0.009048416,0.0004368367,0.00211168,0.00243854,0.001966045,0.1973927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154064,"about_ca_system_score_gemma":0.002169944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02228515,"about_ca_topic_score_gemma":0.03696177,"domain_scores_codex":[0.9990771,0.000121493,0.0001158496,0.0003210538,0.0002053708,0.0001591398],"domain_scores_gemma":[0.9979013,0.0005656798,0.0002061694,0.0005720016,0.0005068398,0.0002479493],"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":[0.00002952086,0.00001153062,0.0004287087,0.0005187987,0.00001551182,0.00001560476,0.0000268023,0.000143051,0.00013405,0.0003903806,0.9967673,0.001518734],"study_design_scores_gemma":[0.00006851525,0.000007830984,0.002026849,0.000177735,0.00001411518,0.00003806679,0.00007782476,0.0001644516,0.0001988572,0.0007015008,0.9965072,0.00001694126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004888681,0.00002672272,0.00004827212,0.00003396002,0.00001209221,0.000005129172,0.9988196,0.0004074017,0.0005979079],"genre_scores_gemma":[0.0001634506,0.0000298469,0.0002006809,0.0000376694,0.00000306033,0.00003875024,0.998989,0.0001424265,0.0003950984],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8640908,"threshold_uncertainty_score":0.4546615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}