{"id":"W6943318868","doi":"10.15468/dl.qy8n54","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; Process (computing)","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":[0.0008104166,0.001881877,0.001411532,0.004828005,0.0009831032,0.002585745,0.002591731,0.001902606,0.1430637],"category_scores_gemma":[0.005199027,0.0008701833,0.00126339,0.00998463,0.0004059331,0.002223977,0.002483315,0.001915107,0.2056594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522783,"about_ca_system_score_gemma":0.002408443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0249857,"about_ca_topic_score_gemma":0.04198825,"domain_scores_codex":[0.9990324,0.0001240428,0.0001218912,0.0003495495,0.0002109452,0.0001613237],"domain_scores_gemma":[0.9978981,0.0005603234,0.0001996642,0.0005557901,0.0005320922,0.0002540733],"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":[0.00002814978,0.00001046206,0.0004595067,0.0005560023,0.00001589988,0.00001650876,0.00002571082,0.0001360012,0.0001197052,0.0003855402,0.9965623,0.001684297],"study_design_scores_gemma":[0.00005696333,0.000007227345,0.001992883,0.0001838917,0.00001396735,0.00004049944,0.00007329732,0.0001640022,0.0001800932,0.0006809494,0.9965899,0.00001632305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004816238,0.00003240588,0.00004990407,0.00003671605,0.00001279749,0.000005101105,0.9987086,0.0004203416,0.0006859929],"genre_scores_gemma":[0.0001725603,0.00003834287,0.0002097887,0.00004699533,0.000003504142,0.00003779027,0.9988434,0.0001385806,0.0005089215],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8569363,"threshold_uncertainty_score":0.4785957,"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."}}