{"id":"W6962015783","doi":"10.15468/dl.pma5ud","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); State (computer science); Confidentiality","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":[0.001202598,0.001973693,0.001742175,0.005485434,0.001109165,0.002948206,0.003084449,0.002106998,0.1747423],"category_scores_gemma":[0.007021802,0.001027714,0.001231255,0.01093768,0.0004857592,0.002521535,0.00282905,0.002171951,0.2306777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637932,"about_ca_system_score_gemma":0.002554183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02182556,"about_ca_topic_score_gemma":0.03556003,"domain_scores_codex":[0.9987902,0.0001654203,0.0001678254,0.0004147308,0.0002690696,0.0001926498],"domain_scores_gemma":[0.9970522,0.0008575516,0.0002680134,0.0007763513,0.0007279505,0.0003179191],"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":[0.00002812353,0.00001068501,0.0003531656,0.0005913377,0.00001557222,0.00001535782,0.000026632,0.000113488,0.0001148038,0.0004288175,0.9969651,0.001336815],"study_design_scores_gemma":[0.00006519687,0.000006785919,0.001573242,0.0001952286,0.00001432527,0.00003455521,0.0000739938,0.0001175161,0.0001707656,0.0007883246,0.9969422,0.00001779252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003350795,0.00002393523,0.00004778509,0.00003351783,0.00001174619,0.000005199516,0.9988691,0.0003565681,0.0006186172],"genre_scores_gemma":[0.0001448015,0.00003414519,0.0002074623,0.00004380601,0.000003341106,0.000044681,0.9988815,0.0001757263,0.00046456],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8252577,"threshold_uncertainty_score":0.5845711,"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."}}