{"id":"W6906185158","doi":"10.15468/dl.zmfzx6","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; The Internet","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":[0.0009555111,0.001937885,0.001587596,0.004942216,0.001009238,0.002514142,0.002697293,0.002160873,0.1550319],"category_scores_gemma":[0.005847019,0.0008875479,0.001300287,0.009414319,0.0004611076,0.002325403,0.002592003,0.001943313,0.2204658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001548552,"about_ca_system_score_gemma":0.002309219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02180147,"about_ca_topic_score_gemma":0.03465812,"domain_scores_codex":[0.9989628,0.0001449676,0.0001321669,0.0003629746,0.0002230868,0.0001740684],"domain_scores_gemma":[0.9974555,0.0007457999,0.0002240821,0.0006774621,0.0006167369,0.0002802864],"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":[0.00003158763,0.00001351164,0.0004117759,0.0005913078,0.00001459822,0.00001708992,0.00002566829,0.0001255128,0.000134977,0.000349173,0.9967859,0.001498924],"study_design_scores_gemma":[0.00007622979,0.00001071518,0.002315304,0.0002218127,0.00001587258,0.00004302402,0.00009188677,0.0001671229,0.0002105561,0.0007226324,0.9961061,0.00001874335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005264469,0.00003000834,0.00004326488,0.00004045237,0.00001385671,0.00000617591,0.9987779,0.0004048815,0.0006308064],"genre_scores_gemma":[0.0001711556,0.00003498765,0.0001872168,0.00004529013,0.000003801978,0.00004301031,0.998922,0.0001329225,0.0004596802],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8449681,"threshold_uncertainty_score":0.5186334,"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."}}