{"id":"W6887143115","doi":"10.15468/dl.q9bej8","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); Alien","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":[0.000994946,0.001940014,0.001600287,0.004862593,0.001051959,0.002634866,0.002763172,0.002152404,0.1555482],"category_scores_gemma":[0.006202138,0.0009076128,0.001295415,0.00930894,0.0004462828,0.002478119,0.002656452,0.002052415,0.2226887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542641,"about_ca_system_score_gemma":0.002293001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02031476,"about_ca_topic_score_gemma":0.03183803,"domain_scores_codex":[0.9989311,0.0001499516,0.000137987,0.000380734,0.0002260091,0.000174117],"domain_scores_gemma":[0.9973802,0.0007642322,0.0002281515,0.0006910504,0.0006450528,0.000291358],"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":[0.00002951584,0.0000125771,0.0003926658,0.0005757613,0.00001500649,0.00001561861,0.00002370036,0.0001257759,0.0001197392,0.0003565414,0.9968821,0.001451161],"study_design_scores_gemma":[0.00007517541,0.00001014198,0.002045126,0.0002158254,0.00001556163,0.00003949165,0.00008236506,0.0001711318,0.0001906028,0.0007681655,0.9963676,0.00001883359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004624944,0.00002941055,0.00004477194,0.00004288001,0.00001499139,0.000005939426,0.9988137,0.0003890593,0.00061293],"genre_scores_gemma":[0.0001598719,0.00003594732,0.0001942799,0.00005056175,0.000004055896,0.00004347847,0.9989092,0.0001356635,0.0004667934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8444518,"threshold_uncertainty_score":0.5203607,"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."}}