{"id":"W6943739346","doi":"10.15468/dl.vn4fkw","title":"Occurrence Download","year":2022,"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":[0.0009770818,0.001937413,0.001554802,0.004628914,0.001024069,0.002536312,0.002690224,0.00215669,0.1504249],"category_scores_gemma":[0.006127737,0.0008940072,0.001274729,0.008856885,0.0004514558,0.002335714,0.002554899,0.001983531,0.2090243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522629,"about_ca_system_score_gemma":0.002292877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02077806,"about_ca_topic_score_gemma":0.03358221,"domain_scores_codex":[0.9989673,0.0001471716,0.0001312837,0.0003659014,0.0002190879,0.0001692693],"domain_scores_gemma":[0.9974357,0.0007698329,0.0002321395,0.0006869741,0.0005860379,0.0002893512],"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":[0.0000299257,0.00001208053,0.0003902355,0.0005357274,0.00001439116,0.00001503868,0.00002256406,0.000127781,0.0001109333,0.0003363992,0.9970443,0.001360724],"study_design_scores_gemma":[0.00008438161,0.00001077771,0.002128428,0.000217167,0.00001582317,0.00004174855,0.00008221243,0.0001888647,0.0001994542,0.0007698832,0.9962423,0.00001903346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004980683,0.00003074347,0.00004407778,0.00004405467,0.00001495327,0.000006237856,0.9988084,0.0004059331,0.0005957988],"genre_scores_gemma":[0.0001755002,0.00003658759,0.0001954815,0.00005366381,0.000004155795,0.00004734826,0.9988713,0.0001381693,0.0004777315],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.849575,"threshold_uncertainty_score":0.5032215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}