{"id":"W6887357856","doi":"10.15468/dl.y6k47g","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; Task (project management)","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":[0.001144124,0.001972781,0.00170254,0.005271603,0.001054,0.002917779,0.002998161,0.002100565,0.1833982],"category_scores_gemma":[0.006809586,0.001032173,0.001187928,0.01056885,0.0004662017,0.002486895,0.002743649,0.002087475,0.2463636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626677,"about_ca_system_score_gemma":0.002426346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01974451,"about_ca_topic_score_gemma":0.03145174,"domain_scores_codex":[0.9988489,0.0001546492,0.0001535394,0.0004054833,0.0002550975,0.0001824317],"domain_scores_gemma":[0.9972609,0.0008069747,0.0002553117,0.0007214583,0.0006534475,0.0003018094],"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":[0.00002832569,0.0000101819,0.0003335334,0.0005723175,0.0000153541,0.00001440737,0.00002429632,0.0001111832,0.000116658,0.0004014552,0.9970189,0.001353506],"study_design_scores_gemma":[0.00006461853,0.000006662332,0.001560685,0.00019055,0.00001412744,0.00003317352,0.00006672152,0.000119309,0.0001741095,0.0007325033,0.997021,0.00001666361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003254148,0.00002412328,0.00004765008,0.00003210297,0.00001087271,0.000004854188,0.998854,0.000368909,0.0006249657],"genre_scores_gemma":[0.0001482934,0.00003399503,0.0001970884,0.00004334224,0.000003276282,0.00004370952,0.9988754,0.00018487,0.0004699991],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8166018,"threshold_uncertainty_score":0.6135281,"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."}}