{"id":"W6962051955","doi":"10.15468/dl.qfs8qv","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); Column (typography)","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":[0.001170979,0.001975145,0.001673352,0.005304174,0.001052349,0.002851292,0.002995223,0.00203504,0.1814431],"category_scores_gemma":[0.006682721,0.001019726,0.001161966,0.01030062,0.0004724857,0.002428604,0.002744839,0.002063173,0.2387869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607861,"about_ca_system_score_gemma":0.002442423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016202,"about_ca_topic_score_gemma":0.03305272,"domain_scores_codex":[0.9988544,0.0001555328,0.0001540363,0.0003991715,0.0002509223,0.0001859436],"domain_scores_gemma":[0.9972932,0.0007964675,0.0002568027,0.0007071195,0.0006393369,0.000307052],"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":[0.00002801778,0.00001015794,0.0003415404,0.0005373292,0.00001474679,0.00001482854,0.00002470406,0.0001082032,0.0001111656,0.0003925648,0.9971133,0.001303397],"study_design_scores_gemma":[0.00006942083,0.000007129984,0.001655435,0.0001967224,0.00001456507,0.00003733575,0.00007096347,0.0001256754,0.0001767746,0.0007591204,0.9968697,0.00001725836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003492432,0.00002360922,0.00004665352,0.00003245692,0.00001105716,0.000004916556,0.9988697,0.0003528262,0.0006238518],"genre_scores_gemma":[0.000145829,0.00003180545,0.0001947609,0.00004299266,0.000003269696,0.00004111181,0.9989119,0.0001694406,0.000458909],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8185569,"threshold_uncertainty_score":0.6069877,"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."}}