{"id":"W6962362962","doi":"10.15468/dl.kbpwsa","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009177348,0.002106607,0.001530727,0.005019516,0.000983314,0.002458191,0.002652837,0.002012633,0.1618768],"category_scores_gemma":[0.005828066,0.0008906149,0.00122576,0.009943232,0.0004505485,0.002113651,0.002513505,0.001813838,0.2217857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486991,"about_ca_system_score_gemma":0.002325749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02110029,"about_ca_topic_score_gemma":0.03384732,"domain_scores_codex":[0.9989747,0.0001399446,0.000130715,0.00036628,0.0002145434,0.0001737987],"domain_scores_gemma":[0.9975806,0.0007019223,0.0002322417,0.0006035258,0.0006128652,0.0002687558],"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":[0.00003261237,0.0000125388,0.0004153607,0.00055355,0.0000140956,0.00001508775,0.0000226399,0.0001345985,0.0001220615,0.0003487346,0.9968373,0.001491465],"study_design_scores_gemma":[0.00008244018,0.0000112634,0.001960839,0.0001955663,0.00001564743,0.00003730879,0.00007414739,0.0001661914,0.0002036578,0.000798303,0.9964349,0.00001968814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004760702,0.00002662958,0.00003852893,0.00003350741,0.00001227984,0.000005280616,0.9988598,0.0003619835,0.0006143971],"genre_scores_gemma":[0.0001602427,0.0000335617,0.0001916296,0.00004491295,0.000003648506,0.00004429422,0.9989115,0.0001398702,0.0004703811],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8381232,"threshold_uncertainty_score":0.5415319,"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."}}