{"id":"W6887342898","doi":"10.15468/dl.zfipqf","title":"Occurrence Download","year":2016,"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); The Internet; Data set","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":[0.00115077,0.002154898,0.001761759,0.005450001,0.001040781,0.002869506,0.003289552,0.002310171,0.1474778],"category_scores_gemma":[0.006682493,0.0009897245,0.00131363,0.01097173,0.000477552,0.002689841,0.002876838,0.002212209,0.2193324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746909,"about_ca_system_score_gemma":0.002542657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02059439,"about_ca_topic_score_gemma":0.03409146,"domain_scores_codex":[0.998772,0.0001640741,0.0001636739,0.0004345473,0.0002690318,0.0001965808],"domain_scores_gemma":[0.9972451,0.0007344921,0.0002685534,0.0007671885,0.0006608535,0.0003238607],"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":[0.00002939369,0.00001296988,0.0004103373,0.0005754827,0.00001631689,0.00001498935,0.00002313811,0.0001295454,0.0001118897,0.0003861335,0.9968969,0.001392868],"study_design_scores_gemma":[0.00007712239,0.00000890774,0.001885445,0.000213436,0.00001554424,0.00003902655,0.00007262459,0.0001600269,0.0001867903,0.0008109102,0.9965116,0.00001856139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004248988,0.00003140264,0.00004349878,0.00003673467,0.0000131844,0.000005376971,0.9988958,0.0003473329,0.000584206],"genre_scores_gemma":[0.0001364059,0.00003355735,0.0001706139,0.00003946829,0.000003315009,0.00003698306,0.999062,0.0001162457,0.0004013629],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8525222,"threshold_uncertainty_score":0.4933624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}