{"id":"W6962198270","doi":"10.15468/dl.yuup8s","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); Download; Range (aeronautics); State (computer science); 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":[0.0008977246,0.002076181,0.001504967,0.004815019,0.00096452,0.002432235,0.002772599,0.001919182,0.1629508],"category_scores_gemma":[0.005465849,0.000923243,0.001149554,0.009522185,0.0004398752,0.002267934,0.002526499,0.001908889,0.2190723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502701,"about_ca_system_score_gemma":0.002188776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01982461,"about_ca_topic_score_gemma":0.03298941,"domain_scores_codex":[0.9990059,0.0001359289,0.0001217033,0.0003602388,0.0002091029,0.0001671862],"domain_scores_gemma":[0.9977465,0.0006260916,0.0002161659,0.0005888868,0.0005552705,0.0002671992],"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":[0.00003095526,0.00001097883,0.0003659936,0.0005026211,0.00001399452,0.00001396708,0.00002091504,0.0001228176,0.0001165633,0.000362598,0.9970561,0.001382485],"study_design_scores_gemma":[0.0000760371,0.000009234336,0.001808623,0.0001753271,0.00001396961,0.00003759026,0.00006369098,0.0001407719,0.0001880517,0.0008020472,0.9966668,0.00001782506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004228738,0.00002594915,0.00003866847,0.0000312751,0.00001165204,0.000004528653,0.9988679,0.000326416,0.0006512957],"genre_scores_gemma":[0.0001502631,0.0000318172,0.0001796747,0.00004481287,0.000003370578,0.00003721862,0.9989426,0.000137775,0.0004725127],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8370492,"threshold_uncertainty_score":0.5451247,"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."}}