{"id":"W6924836303","doi":"10.15468/dl.rqfcmf","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); State (computer science); Confidentiality","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":[0.001051414,0.00199794,0.001557546,0.005138692,0.001028848,0.002520876,0.002896873,0.002113538,0.1510803],"category_scores_gemma":[0.005981254,0.0008928882,0.001176989,0.009663291,0.000479305,0.002367414,0.002554953,0.002132901,0.2083779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582328,"about_ca_system_score_gemma":0.002297558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02053714,"about_ca_topic_score_gemma":0.03479769,"domain_scores_codex":[0.998941,0.0001517316,0.0001324531,0.0003680001,0.0002298992,0.0001768521],"domain_scores_gemma":[0.9974492,0.000734426,0.0002435915,0.0006803137,0.0005949571,0.00029734],"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":[0.0000295224,0.00001249478,0.0003980337,0.0005330786,0.00001478534,0.0000153112,0.0000250352,0.0001403348,0.0001185296,0.000394562,0.9969145,0.001403811],"study_design_scores_gemma":[0.00007290386,0.000008369129,0.00180693,0.0001921386,0.00001406825,0.00003849986,0.00008051741,0.0001640792,0.0001864033,0.0008137711,0.9966042,0.00001807085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004749767,0.00002785117,0.00004964017,0.00003725931,0.00001343348,0.000005402475,0.9987994,0.000372864,0.0006465331],"genre_scores_gemma":[0.0001638594,0.00003177712,0.0002080766,0.00004275756,0.000003545299,0.00004188735,0.9989255,0.0001406961,0.0004419244],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8489196,"threshold_uncertainty_score":0.5054141,"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."}}