{"id":"W6962322202","doi":"10.15468/dl.ut8a6d","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; 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":[0.0009531911,0.001938149,0.00153596,0.004637362,0.0009694055,0.002496572,0.002642595,0.002089965,0.1556473],"category_scores_gemma":[0.006057232,0.0008983921,0.00126901,0.008722337,0.0004324355,0.002388454,0.002535901,0.001936745,0.2191758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466394,"about_ca_system_score_gemma":0.002190437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011796,"about_ca_topic_score_gemma":0.03246888,"domain_scores_codex":[0.9989942,0.0001436429,0.0001276943,0.0003590453,0.0002114662,0.0001639189],"domain_scores_gemma":[0.9974459,0.0007593137,0.0002266882,0.0006910809,0.0005896027,0.0002874421],"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":[0.00002939791,0.00001199805,0.0003909449,0.0005204834,0.00001407725,0.00001494251,0.00002243548,0.0001280074,0.0001085761,0.000325334,0.9970199,0.001413854],"study_design_scores_gemma":[0.00007975098,0.00001053918,0.002138651,0.0002077975,0.0000153832,0.000041575,0.00008204598,0.0001952892,0.000196753,0.0007834858,0.9962298,0.00001883886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005031391,0.00002907899,0.00004709942,0.0000431102,0.00001465596,0.000006175478,0.9987451,0.0004504792,0.0006139051],"genre_scores_gemma":[0.0001782347,0.00003577918,0.0002043128,0.00005184036,0.00000420394,0.00004588559,0.9988483,0.0001503279,0.0004810336],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8443527,"threshold_uncertainty_score":0.5206922,"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."}}