{"id":"W6906135465","doi":"10.15468/dl.xqjzta","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":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.0009716029,0.002128445,0.001668491,0.005335345,0.0009847259,0.00269389,0.002869742,0.001941731,0.1735458],"category_scores_gemma":[0.006074156,0.001008141,0.001234443,0.01060457,0.0004300675,0.00242097,0.00268362,0.001940276,0.2371913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541133,"about_ca_system_score_gemma":0.002393833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02034017,"about_ca_topic_score_gemma":0.03521677,"domain_scores_codex":[0.9988568,0.0001578567,0.0001558028,0.0004028088,0.0002405109,0.0001863035],"domain_scores_gemma":[0.9974182,0.0007038644,0.0002477182,0.0006623277,0.0006676475,0.0003002732],"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":[0.00003217521,0.00001054042,0.0003326627,0.0005640754,0.0000153132,0.00001354542,0.00002017239,0.0001071921,0.0001127987,0.0003665664,0.9971064,0.001318632],"study_design_scores_gemma":[0.00007366971,0.000008564752,0.001637483,0.0001749705,0.00001478043,0.00003427884,0.00005547316,0.0001183548,0.0001712668,0.0007525957,0.9969405,0.00001818492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003406397,0.00002565254,0.00003636703,0.00002953065,0.00001068739,0.000004714956,0.9989405,0.0003049853,0.0006135415],"genre_scores_gemma":[0.0001347428,0.00003550416,0.0001725477,0.00004754616,0.000003536832,0.00003918093,0.9989337,0.0001384363,0.00049472],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8264542,"threshold_uncertainty_score":0.5805686,"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."}}