{"id":"W6905595400","doi":"10.15468/dl.kpb57h","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":[0.0008603368,0.002059669,0.001612522,0.005334859,0.0008262454,0.002594509,0.002773126,0.00176726,0.1474891],"category_scores_gemma":[0.005756034,0.0008881828,0.001174651,0.01119053,0.0003937067,0.002305527,0.002608558,0.001791092,0.210862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610758,"about_ca_system_score_gemma":0.002497617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0248744,"about_ca_topic_score_gemma":0.04184578,"domain_scores_codex":[0.9989713,0.0001285401,0.000140564,0.000352527,0.0002335912,0.0001734003],"domain_scores_gemma":[0.9976444,0.0005798704,0.0002621535,0.0006026424,0.0006298078,0.0002811749],"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":[0.00002977964,0.000009367237,0.0004196619,0.0005299631,0.00001581785,0.00001324341,0.00002111513,0.0001202694,0.0001032005,0.0004221289,0.9968726,0.001442944],"study_design_scores_gemma":[0.00006311129,0.000007221781,0.001862082,0.0001797843,0.00001425076,0.00003279749,0.00005335715,0.000128186,0.0001708528,0.0007691767,0.9967025,0.00001674189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003669273,0.00002650249,0.00003535719,0.00002715883,0.000009795143,0.000003825572,0.9989362,0.000315605,0.0006087794],"genre_scores_gemma":[0.0001420127,0.00003622715,0.0001552757,0.00003692247,0.000003109879,0.00003002703,0.9989826,0.0001251323,0.0004886049],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8525109,"threshold_uncertainty_score":0.4934002,"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."}}