{"id":"W6924764139","doi":"10.15468/dl.w53rqc","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); Confidentiality; State (computer science)","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":[0.0009524775,0.001955887,0.001473601,0.004690612,0.001010349,0.002407292,0.002815779,0.0021394,0.1524769],"category_scores_gemma":[0.005551765,0.0008762765,0.001132074,0.008971059,0.0004576329,0.002379353,0.002540204,0.002095445,0.2086717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157728,"about_ca_system_score_gemma":0.002189865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0212424,"about_ca_topic_score_gemma":0.03828027,"domain_scores_codex":[0.9990109,0.0001423139,0.0001172077,0.0003496497,0.0002155502,0.0001643627],"domain_scores_gemma":[0.9975292,0.0007014729,0.0002295736,0.0006731439,0.0005823562,0.0002842845],"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":[0.00002655064,0.00001210359,0.0003706466,0.000455606,0.0000128163,0.00001427098,0.00002355523,0.0001336108,0.0001049036,0.0003864956,0.9971559,0.001303539],"study_design_scores_gemma":[0.0000708587,0.000008044883,0.001814086,0.0001700081,0.00001243134,0.00003616562,0.00007700212,0.0001742714,0.0001787785,0.0008541809,0.9965862,0.00001790448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004792976,0.00002474187,0.00004939353,0.00003872308,0.00001299582,0.000005317059,0.9987364,0.0003998856,0.0006846696],"genre_scores_gemma":[0.0001734825,0.00002891013,0.0002177685,0.0000456856,0.000003573455,0.00004228723,0.9988462,0.0001544974,0.0004876525],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8475231,"threshold_uncertainty_score":0.5100861,"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."}}