{"id":"W6943327895","doi":"10.15468/dl.sk5qaq","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); The Internet","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":[0.001169375,0.001900689,0.001651412,0.005314698,0.001051465,0.002893656,0.003005503,0.002000266,0.186452],"category_scores_gemma":[0.006869768,0.001006156,0.001162627,0.0108823,0.000470004,0.002503904,0.002780699,0.002089678,0.2418055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605684,"about_ca_system_score_gemma":0.002427602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01954791,"about_ca_topic_score_gemma":0.03173242,"domain_scores_codex":[0.9988208,0.0001587083,0.0001600695,0.0004077225,0.0002611494,0.0001916168],"domain_scores_gemma":[0.9972383,0.0008044338,0.0002603564,0.0007181936,0.000672732,0.0003060353],"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":[0.00002819508,0.00001007581,0.0003328514,0.0005585286,0.00001509106,0.00001437699,0.00002496962,0.0001077707,0.0001169104,0.0004321051,0.9969797,0.001379453],"study_design_scores_gemma":[0.00006091013,0.000006255228,0.001480373,0.0001849538,0.00001302675,0.00003175546,0.00006821891,0.0001068263,0.0001657866,0.0007408476,0.997125,0.00001600256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003286577,0.00002343836,0.00004671898,0.0000327436,0.00001137068,0.000004908133,0.9988403,0.000338739,0.0006689901],"genre_scores_gemma":[0.0001445535,0.00003300612,0.0001969316,0.00004311146,0.00000333126,0.00004182827,0.9988884,0.000177949,0.0004708552],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.813548,"threshold_uncertainty_score":0.6237441,"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."}}