{"id":"W6887183146","doi":"10.15468/dl.rv3t7m","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); Key (lock)","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":[0.0009828396,0.002003994,0.001576159,0.004848832,0.0009902352,0.002492438,0.00284168,0.002106437,0.1550292],"category_scores_gemma":[0.00606316,0.0009174651,0.001199223,0.009270872,0.0004474922,0.00242408,0.002559294,0.002013108,0.213665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529488,"about_ca_system_score_gemma":0.002322666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02169071,"about_ca_topic_score_gemma":0.03748616,"domain_scores_codex":[0.9989397,0.0001497478,0.0001371873,0.0003760429,0.0002252401,0.0001721142],"domain_scores_gemma":[0.9973769,0.0007463245,0.0002392493,0.0006956802,0.0006418644,0.000299916],"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":[0.00002874664,0.00001131478,0.0003582616,0.0005186003,0.0000141128,0.00001475112,0.00002236936,0.0001201751,0.0001036534,0.0003514979,0.9971828,0.0012736],"study_design_scores_gemma":[0.00007537944,0.000008507875,0.001850325,0.0001909999,0.0000143304,0.00003757049,0.00007149528,0.0001499671,0.0001823319,0.0007987456,0.9966015,0.00001872271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003962343,0.00002500392,0.00004236113,0.00003521597,0.0000112486,0.000005382477,0.9988919,0.0003577199,0.0005915125],"genre_scores_gemma":[0.0001592939,0.00003068344,0.0001859036,0.0000461297,0.000003399278,0.00004118479,0.9989488,0.0001373253,0.0004473983],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8449708,"threshold_uncertainty_score":0.5186244,"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."}}