{"id":"W6962082746","doi":"10.15468/dl.xcrzny","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); Range (aeronautics); Download; Set (abstract data type); 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":[0.0009118658,0.002017539,0.001634029,0.005084679,0.0009548631,0.00259753,0.002757219,0.001952712,0.1521493],"category_scores_gemma":[0.005672027,0.0009233834,0.001181228,0.009930669,0.0004226664,0.002268963,0.002533122,0.001867341,0.2095695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499851,"about_ca_system_score_gemma":0.002249548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0188373,"about_ca_topic_score_gemma":0.03291903,"domain_scores_codex":[0.998909,0.0001472079,0.000144582,0.0003943253,0.0002274659,0.0001774715],"domain_scores_gemma":[0.9975982,0.0006467244,0.000242704,0.0006298451,0.0006034582,0.0002790587],"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":[0.00003950974,0.00001253061,0.0004429232,0.0006552088,0.00001768296,0.00001657069,0.00002217754,0.0001301021,0.0001462419,0.0004065866,0.9965464,0.001564096],"study_design_scores_gemma":[0.00007703406,0.000009585438,0.001819955,0.0001895194,0.00001588742,0.00003868318,0.00006023991,0.0001396505,0.0001877342,0.0007836554,0.9966593,0.00001876675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004118038,0.00002824414,0.00003793994,0.00003013738,0.00001082972,0.000004760188,0.9989268,0.0003243004,0.0005956862],"genre_scores_gemma":[0.0001524955,0.0000351773,0.0001826333,0.00004719023,0.000003418488,0.00003705233,0.9989698,0.0001215726,0.0004506431],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8478507,"threshold_uncertainty_score":0.5089902,"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."}}