{"id":"W6906115355","doi":"10.15468/dl.xakte4","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); 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":[0.001031583,0.002029496,0.001720602,0.005608602,0.001135362,0.002785663,0.003009807,0.002061966,0.1608712],"category_scores_gemma":[0.005951803,0.0009987954,0.001199587,0.01161427,0.0004802748,0.002397746,0.002829066,0.002119,0.2211458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001850096,"about_ca_system_score_gemma":0.002982786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03344058,"about_ca_topic_score_gemma":0.05611162,"domain_scores_codex":[0.9988838,0.0001392007,0.0001421307,0.000375589,0.0002694127,0.0001898395],"domain_scores_gemma":[0.9974174,0.0006787601,0.000236066,0.0006848493,0.0006749902,0.0003078955],"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":[0.00002795461,0.000009864389,0.0003376105,0.0005322967,0.00001489977,0.00001552384,0.00002718352,0.0001076863,0.0001226998,0.0004452683,0.9970229,0.001336002],"study_design_scores_gemma":[0.00005865533,0.000005632192,0.001621481,0.0001727676,0.00001297167,0.00003382407,0.00006875131,0.0001047597,0.0001826593,0.0007290719,0.9969925,0.00001696658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000035085,0.00002471343,0.00004513389,0.00003057685,0.000009776492,0.000004599579,0.9988042,0.0003782883,0.0006676508],"genre_scores_gemma":[0.000137021,0.00003206997,0.0001884109,0.00003828066,0.000002644617,0.00003509928,0.9989305,0.0001679535,0.0004679743],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8391287,"threshold_uncertainty_score":0.5381679,"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."}}