{"id":"W6943394351","doi":"10.15468/dl.zlqye6","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); Data set; Training 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":[0.00104292,0.002004267,0.001588788,0.005581852,0.0009032522,0.00255195,0.0028241,0.002016085,0.1354296],"category_scores_gemma":[0.005972738,0.000856993,0.001165698,0.01046253,0.000452774,0.002240874,0.002753745,0.001947789,0.2036244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668786,"about_ca_system_score_gemma":0.002491978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02082315,"about_ca_topic_score_gemma":0.03424295,"domain_scores_codex":[0.9988785,0.0001489602,0.0001573641,0.0003593932,0.0002616009,0.0001940284],"domain_scores_gemma":[0.9974541,0.000633599,0.0002751559,0.0006910308,0.0006298826,0.0003162486],"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":[0.00003430396,0.0000127989,0.000456,0.0006116666,0.00001749318,0.00001677682,0.0000252034,0.0001380691,0.0001307154,0.0004124957,0.9966199,0.001524631],"study_design_scores_gemma":[0.00007847184,0.000008624023,0.002086052,0.0002037413,0.00001471743,0.00003992983,0.00006837605,0.0001410399,0.0001943522,0.0007472252,0.9964002,0.0000171381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004455196,0.00002852908,0.0000354639,0.00003190492,0.00001031469,0.000005289962,0.9989637,0.0003123966,0.0005678718],"genre_scores_gemma":[0.000147608,0.00003261298,0.0001528991,0.00003601946,0.000003134704,0.00003413251,0.9991286,0.00009782266,0.000367133],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8645704,"threshold_uncertainty_score":0.4530571,"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."}}