{"id":"W6887149021","doi":"10.15468/dl.tj8tb9","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); Alien","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":[0.0010139,0.001899884,0.001557968,0.004882896,0.001011563,0.002522865,0.002742427,0.002194382,0.1459942],"category_scores_gemma":[0.006059414,0.0008763557,0.001284739,0.009516574,0.0004600234,0.002267578,0.002546742,0.002031974,0.2093195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605091,"about_ca_system_score_gemma":0.002360784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02207284,"about_ca_topic_score_gemma":0.03470775,"domain_scores_codex":[0.9988809,0.000154951,0.0001423701,0.0003909314,0.0002466681,0.0001840988],"domain_scores_gemma":[0.9973353,0.0007647789,0.0002455931,0.0007227958,0.0006299367,0.0003016112],"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":[0.00003078544,0.00001306769,0.0004386592,0.0005288811,0.00001523731,0.00001548248,0.00002437564,0.000135813,0.0001264457,0.0003703265,0.9968532,0.001447924],"study_design_scores_gemma":[0.00007542865,0.000009964804,0.002242524,0.0002044617,0.00001542746,0.00003922292,0.00008288256,0.0001734577,0.0002023496,0.000760009,0.9961752,0.00001901298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000464826,0.00002555874,0.0000397279,0.00003810515,0.00001228483,0.000005270025,0.9989329,0.0003351168,0.0005644721],"genre_scores_gemma":[0.0001659468,0.00003189648,0.0001859013,0.0000448432,0.000003418308,0.00004016147,0.9989725,0.0001198723,0.0004354372],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8540058,"threshold_uncertainty_score":0.4883994,"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."}}