{"id":"W6943550701","doi":"10.15468/dl.q266an","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); Software; The Internet","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":[0.0009721548,0.002034775,0.001667128,0.00487468,0.0009589334,0.002647758,0.002831607,0.002179611,0.1581388],"category_scores_gemma":[0.006228879,0.0009104872,0.001210362,0.009461237,0.0004319787,0.002437768,0.002501301,0.00201555,0.212548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554374,"about_ca_system_score_gemma":0.002290354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02104897,"about_ca_topic_score_gemma":0.03520263,"domain_scores_codex":[0.9989567,0.0001476331,0.0001343733,0.0003722353,0.0002206229,0.0001684184],"domain_scores_gemma":[0.9974862,0.0007481267,0.0002336358,0.0006551472,0.0005924751,0.0002842831],"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":[0.00003215593,0.00001170377,0.0003818077,0.0005536342,0.00001602023,0.00001560786,0.00002152791,0.0001355624,0.0001021246,0.0003593513,0.9970594,0.001311113],"study_design_scores_gemma":[0.00008854535,0.000009034407,0.001986351,0.0001989857,0.00001580898,0.00003901816,0.00007084722,0.0001795506,0.0001816845,0.0008751664,0.9963354,0.00001968426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003791431,0.00002479507,0.00004098877,0.00003368077,0.00001045861,0.00000480883,0.9989587,0.000353818,0.0005347955],"genre_scores_gemma":[0.0001613969,0.00003068444,0.0001827795,0.00004416146,0.00000341233,0.00003977127,0.9989786,0.0001359808,0.0004231981],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8418611,"threshold_uncertainty_score":0.5290271,"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."}}