{"id":"W6887040969","doi":"10.15468/dl.m63kmo","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); Download; Range (aeronautics); R package; 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":[0.001063858,0.001974717,0.001562915,0.005148545,0.0009560296,0.002636252,0.00299778,0.002021671,0.1393155],"category_scores_gemma":[0.006227589,0.0008850806,0.00121156,0.01002833,0.0004501592,0.002324492,0.0026629,0.002075454,0.2028156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648244,"about_ca_system_score_gemma":0.002441305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02115396,"about_ca_topic_score_gemma":0.03405027,"domain_scores_codex":[0.9989021,0.0001444861,0.0001416156,0.0003816863,0.0002511945,0.0001790469],"domain_scores_gemma":[0.9974969,0.0006512285,0.000252932,0.0007000866,0.0006020513,0.0002968351],"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":[0.00002676351,0.00001154645,0.0004233807,0.0004470842,0.00001498585,0.0000140052,0.00002263671,0.000135089,0.0001062374,0.0003890602,0.9970107,0.001398536],"study_design_scores_gemma":[0.00007175852,0.000008020957,0.00200437,0.0001854455,0.00001444855,0.00003949544,0.00006994219,0.0001718947,0.0001965721,0.0008180885,0.9964026,0.00001728261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004824157,0.00002922134,0.00004832022,0.00003841534,0.00001353379,0.000005301664,0.998776,0.0004105347,0.0006303845],"genre_scores_gemma":[0.0001567191,0.00003075424,0.000181692,0.00003787637,0.000003223371,0.00003607452,0.9989836,0.0001352468,0.0004347911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8606845,"threshold_uncertainty_score":0.4660566,"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."}}