{"id":"W6905952031","doi":"10.15468/dl.xrkf8e","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); Data set","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":[0.001004226,0.001935851,0.001666344,0.005290161,0.0009970863,0.002666506,0.002764465,0.002029565,0.1620888],"category_scores_gemma":[0.005980619,0.0009206772,0.001148241,0.01038493,0.0004530939,0.002343077,0.002613445,0.002010557,0.2231846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535394,"about_ca_system_score_gemma":0.002259455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01969359,"about_ca_topic_score_gemma":0.03283803,"domain_scores_codex":[0.9989557,0.0001420712,0.000134898,0.0003605454,0.0002324928,0.0001742553],"domain_scores_gemma":[0.997489,0.0007026246,0.000238854,0.0006628995,0.0006113024,0.0002953115],"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":[0.00002956808,0.0000114509,0.0003786381,0.0005711431,0.00001470351,0.0000157435,0.00002575565,0.0001300227,0.0001185698,0.000407568,0.9968948,0.001402045],"study_design_scores_gemma":[0.00006917983,0.0000077176,0.001726085,0.0001857303,0.00001340882,0.00003521465,0.00007628943,0.0001354168,0.0001744134,0.0007894759,0.9967694,0.00001765147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004080723,0.00002575838,0.00004430699,0.00003276359,0.00001133346,0.000005060946,0.9988802,0.0003495853,0.00061015],"genre_scores_gemma":[0.0001604368,0.00003397228,0.0002058111,0.0000417339,0.000003544138,0.00004303765,0.998865,0.0001553546,0.000491154],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8379112,"threshold_uncertainty_score":0.5422412,"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."}}