{"id":"W6943530861","doi":"10.15468/dl.smvefk","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0008918726,0.001817883,0.001510191,0.004734445,0.001009426,0.002887036,0.002672573,0.001794986,0.1760734],"category_scores_gemma":[0.005879728,0.0008785935,0.001324472,0.009093953,0.0004039233,0.002451701,0.002702649,0.001900598,0.2567694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137563,"about_ca_system_score_gemma":0.002246879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01960058,"about_ca_topic_score_gemma":0.0320793,"domain_scores_codex":[0.9989529,0.0001293298,0.0001306643,0.000376448,0.0002318443,0.0001788677],"domain_scores_gemma":[0.9975989,0.000623608,0.0001983309,0.0006893712,0.0006333267,0.0002563452],"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":[0.00003084101,0.00001045995,0.0004819571,0.0005164947,0.00001571321,0.00001785732,0.00002727772,0.0001388179,0.0001366752,0.0003992688,0.9961748,0.002049837],"study_design_scores_gemma":[0.00005186001,0.000006997529,0.001784222,0.0001516606,0.00001256204,0.00003646838,0.00007999356,0.0001733527,0.0001817825,0.000756481,0.9967483,0.00001628662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005407564,0.00002991922,0.0000725354,0.00004373879,0.0000177746,0.000006380926,0.9981955,0.0006857931,0.0008942347],"genre_scores_gemma":[0.0002019961,0.00003760909,0.0002806217,0.00005028887,0.00000481926,0.0000452882,0.9985298,0.0002322455,0.0006173573],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8239266,"threshold_uncertainty_score":0.5890241,"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."}}