{"id":"W6961712115","doi":"10.15468/dl.xejtdn","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); Set (abstract data type)","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":[0.0009062483,0.002025186,0.001594969,0.004911184,0.00090653,0.002467929,0.002698137,0.001918716,0.1568236],"category_scores_gemma":[0.005589498,0.0009276143,0.001185909,0.009719594,0.0004183484,0.002205045,0.002495934,0.001863414,0.2124679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001449771,"about_ca_system_score_gemma":0.002217805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01911048,"about_ca_topic_score_gemma":0.03223627,"domain_scores_codex":[0.9989321,0.0001436329,0.0001432315,0.0003807459,0.0002252365,0.0001751449],"domain_scores_gemma":[0.9976006,0.0006526771,0.0002430624,0.0006196029,0.0006050703,0.0002789019],"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":[0.00003635286,0.00001202057,0.0004053622,0.0005878382,0.00001629134,0.00001427367,0.00002039265,0.0001268946,0.0001242279,0.0003603296,0.9968606,0.001435422],"study_design_scores_gemma":[0.00008809663,0.00001043923,0.002050383,0.0001967041,0.0000165637,0.00003731755,0.0000615165,0.0001495706,0.00019111,0.0007941046,0.9963845,0.00001968538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003759982,0.00002423394,0.00003399923,0.00002823524,0.00001029391,0.000004605791,0.9990255,0.0002872881,0.0005483058],"genre_scores_gemma":[0.0001402538,0.00003208583,0.0001650605,0.00004455955,0.000003250232,0.00003711243,0.9990349,0.0001123887,0.0004303559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8431764,"threshold_uncertainty_score":0.5246273,"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."}}