{"id":"W6943382139","doi":"10.15468/dl.vx6z5k","title":"Occurrence Download","year":2019,"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); Data set; Confidentiality","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":[0.0009373213,0.00186036,0.001540266,0.005008304,0.0009304242,0.002572702,0.002691576,0.001943116,0.1539957],"category_scores_gemma":[0.005378736,0.0008432218,0.001113156,0.009950652,0.0004278861,0.002259105,0.002467948,0.001950254,0.2244426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540578,"about_ca_system_score_gemma":0.002161605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01835088,"about_ca_topic_score_gemma":0.03233637,"domain_scores_codex":[0.9990255,0.00013101,0.0001259404,0.0003389979,0.0002169127,0.0001617976],"domain_scores_gemma":[0.9978147,0.0005923961,0.0002150079,0.0005853747,0.0005451458,0.0002473418],"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":[0.00002815875,0.00001067617,0.0003976419,0.0005486939,0.00001564332,0.00001473403,0.00002420367,0.0001299767,0.0001272565,0.0004525122,0.996704,0.001546397],"study_design_scores_gemma":[0.00005675828,0.000006702224,0.001644876,0.0001759877,0.00001290549,0.00003220502,0.00006429856,0.0001273338,0.0001778491,0.0007554143,0.9969307,0.00001493415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004078052,0.00002914425,0.0000447573,0.00003216325,0.00001157789,0.000004589655,0.998855,0.0003171996,0.0006648327],"genre_scores_gemma":[0.0001524261,0.00003363506,0.0001801606,0.0000402374,0.000003257518,0.00003367116,0.9989491,0.000128729,0.0004787906],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8460044,"threshold_uncertainty_score":0.5151668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}