{"id":"W6962435556","doi":"10.15468/dl.qd48wk","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009352855,0.001862751,0.001537555,0.004703457,0.001050638,0.002946668,0.002808064,0.001874609,0.200455],"category_scores_gemma":[0.006336522,0.0009291458,0.001390535,0.009476707,0.0004132107,0.002647864,0.002828815,0.001945579,0.285598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001452163,"about_ca_system_score_gemma":0.002337829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011642,"about_ca_topic_score_gemma":0.0317197,"domain_scores_codex":[0.9989265,0.0001310187,0.0001369408,0.0003843706,0.0002319403,0.0001892535],"domain_scores_gemma":[0.9974735,0.0006594569,0.0002030728,0.000716655,0.0006794044,0.0002678281],"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":[0.0000288241,0.000009264372,0.0004034151,0.0004991091,0.00001405491,0.00001565235,0.00002512119,0.0001157622,0.0001188136,0.0003818645,0.9965139,0.001874278],"study_design_scores_gemma":[0.00004963204,0.000006518066,0.001541368,0.0001521791,0.00001166015,0.00003252919,0.00007289497,0.0001551603,0.0001719757,0.0007677731,0.9970227,0.00001553608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000045673,0.00002989547,0.00006852805,0.00004570306,0.00001755839,0.000006305378,0.9981679,0.0007049708,0.0009133899],"genre_scores_gemma":[0.0001957638,0.0000417781,0.0002754077,0.00005768144,0.000005041878,0.00004713384,0.9984327,0.0002700925,0.0006743805],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.799545,"threshold_uncertainty_score":0.6705889,"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."}}