{"id":"W6924839311","doi":"10.15468/dl.nf1snr","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":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; Identification (biology)","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":[0.0008853741,0.002143155,0.001647539,0.005330175,0.0009225545,0.002659233,0.002883331,0.001841377,0.1448155],"category_scores_gemma":[0.005859658,0.0009226903,0.00122034,0.01100012,0.0004279911,0.002407289,0.002707661,0.00188968,0.2152921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163422,"about_ca_system_score_gemma":0.002577858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02526245,"about_ca_topic_score_gemma":0.04245345,"domain_scores_codex":[0.9989007,0.0001393873,0.0001470504,0.0003822977,0.0002493257,0.0001812825],"domain_scores_gemma":[0.9976432,0.0005957241,0.0002566034,0.0006152775,0.0006068796,0.0002822664],"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":[0.00002951564,0.000009456734,0.0004020992,0.0004980321,0.0000151626,0.0000140745,0.00002147812,0.0001164576,0.0001023053,0.0004009283,0.9969893,0.001401156],"study_design_scores_gemma":[0.00006305805,0.000007380953,0.001741823,0.0001727241,0.00001436434,0.00003664091,0.00005557164,0.0001284805,0.000176495,0.0007617963,0.9968243,0.00001737541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000403618,0.00003008892,0.00003994349,0.00003126715,0.00001150783,0.000004198382,0.9988262,0.0003653731,0.0006510847],"genre_scores_gemma":[0.0001444358,0.00003767946,0.0001596343,0.00003934204,0.000003323376,0.00003196558,0.9989433,0.0001362207,0.0005040807],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8551845,"threshold_uncertainty_score":0.4844561,"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."}}