{"id":"W6943668730","doi":"10.15468/dl.zh5fga","title":"Occurrence Download","year":2022,"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); Order (exchange); Set (abstract data type)","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":[0.001166963,0.001973574,0.001717578,0.005507284,0.001048371,0.002931823,0.002950914,0.00204911,0.1813712],"category_scores_gemma":[0.007121118,0.001020227,0.001198677,0.01121461,0.0004748715,0.002475334,0.002801408,0.002065041,0.2375058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587677,"about_ca_system_score_gemma":0.002473052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02123979,"about_ca_topic_score_gemma":0.03342221,"domain_scores_codex":[0.9987873,0.0001642897,0.0001706265,0.0004160998,0.0002671247,0.0001945081],"domain_scores_gemma":[0.996989,0.0008754616,0.0002887836,0.000795296,0.0007225983,0.0003289236],"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":[0.00002810229,0.00001015029,0.0003666501,0.0005841819,0.00001527965,0.00001521504,0.00002620471,0.0001148443,0.0001070503,0.0003967783,0.9970258,0.001309715],"study_design_scores_gemma":[0.00006710114,0.000006980639,0.001679356,0.0002049562,0.00001434125,0.00003539078,0.00007626672,0.0001212766,0.0001644292,0.0007622919,0.99685,0.00001764357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003250258,0.00002180767,0.00004233995,0.00003154542,0.00001083523,0.000004694073,0.9989583,0.0003260629,0.0005717781],"genre_scores_gemma":[0.0001467965,0.00003345444,0.0001924561,0.00004241344,0.000003342658,0.0000426961,0.9989139,0.0001693542,0.0004556793],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8186288,"threshold_uncertainty_score":0.6067471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}