{"id":"W6887101804","doi":"10.15468/dl.p7kbhk","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); Order (exchange)","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":[0.001008873,0.002033903,0.001594607,0.005267152,0.001040021,0.002631705,0.002933295,0.002173199,0.1318561],"category_scores_gemma":[0.006169442,0.0009117794,0.001191206,0.01015432,0.0004576552,0.00247283,0.002612575,0.002055007,0.1937189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733172,"about_ca_system_score_gemma":0.00250796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02587634,"about_ca_topic_score_gemma":0.04462415,"domain_scores_codex":[0.9988034,0.0001668691,0.0001511931,0.0004205527,0.0002662307,0.0001917054],"domain_scores_gemma":[0.9974511,0.0007044978,0.0002385704,0.0006846984,0.0006257167,0.0002954789],"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":[0.0000302809,0.00001204184,0.0004092772,0.0005332238,0.00001532562,0.00001600011,0.0000244765,0.0001356111,0.0001097643,0.0003999255,0.9969688,0.001345328],"study_design_scores_gemma":[0.00007206716,0.00000855195,0.001965378,0.0001909806,0.0000141879,0.00004227992,0.00008134823,0.0001815451,0.0001817365,0.0007779161,0.9964657,0.00001832842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004589522,0.00002916048,0.00004438444,0.00003778144,0.00001158605,0.000005032181,0.9988501,0.0003811094,0.0005949606],"genre_scores_gemma":[0.0001545856,0.00003157869,0.0001788753,0.00003973461,0.000002983019,0.00003429089,0.9990349,0.0001187595,0.0004043751],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8681439,"threshold_uncertainty_score":0.4411024,"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."}}