{"id":"W6962009284","doi":"10.15468/dl.nmz7n9","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.000935434,0.001909297,0.001593631,0.004960322,0.001105337,0.003075782,0.00279304,0.001914561,0.1945976],"category_scores_gemma":[0.006418239,0.0009396932,0.001387597,0.009799151,0.0004181076,0.002693632,0.002891457,0.001965512,0.2875427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462548,"about_ca_system_score_gemma":0.002385689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02033873,"about_ca_topic_score_gemma":0.03320382,"domain_scores_codex":[0.9988682,0.0001393498,0.0001426316,0.0004077595,0.0002454074,0.0001966058],"domain_scores_gemma":[0.9973953,0.0006766657,0.0002070243,0.0007434046,0.0007078667,0.0002697485],"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":[0.00002926647,0.0000096288,0.0004306069,0.0005250017,0.0000150427,0.00001678751,0.00002705769,0.000123183,0.0001230688,0.0003912917,0.9963472,0.001961879],"study_design_scores_gemma":[0.00004769514,0.000006585951,0.001528462,0.0001560187,0.00001212458,0.00003372156,0.00007552886,0.0001540552,0.0001725671,0.0007390181,0.9970583,0.00001605683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004694344,0.00003154912,0.00006985979,0.00004466969,0.0000181362,0.000006265485,0.9981811,0.0006947348,0.0009067053],"genre_scores_gemma":[0.0001847677,0.00004091555,0.0002737185,0.00005344972,0.000004894166,0.00004458997,0.9984924,0.0002545881,0.0006507073],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8054023,"threshold_uncertainty_score":0.6509939,"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."}}