{"id":"W6887180748","doi":"10.15468/dl.ut8aq9","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); Confidentiality; Task (project management)","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":[0.001019654,0.001884044,0.001623598,0.00507397,0.0009900125,0.002685292,0.002759094,0.001983885,0.1742126],"category_scores_gemma":[0.006160032,0.0009045489,0.001136727,0.009977064,0.0004452025,0.00241386,0.002607186,0.002014501,0.2310474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498481,"about_ca_system_score_gemma":0.002215441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01839508,"about_ca_topic_score_gemma":0.0309182,"domain_scores_codex":[0.9989661,0.0001410069,0.0001314735,0.0003648986,0.0002252431,0.0001713209],"domain_scores_gemma":[0.9974821,0.0007298767,0.0002437118,0.0006624687,0.0005925978,0.0002891875],"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":[0.00002840244,0.00001076468,0.0003710373,0.0005518163,0.00001455361,0.00001437303,0.00002417167,0.000120317,0.0001173375,0.0004038411,0.9969233,0.001420189],"study_design_scores_gemma":[0.00006499463,0.000007085865,0.001653261,0.0001845063,0.00001310812,0.00003221152,0.00006824845,0.0001279455,0.0001738527,0.0007874937,0.9968711,0.00001632062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003895307,0.00002535955,0.00004485262,0.00003359031,0.00001141373,0.000004882681,0.9988394,0.0003439967,0.0006575321],"genre_scores_gemma":[0.0001655132,0.00003420627,0.00020114,0.00004600293,0.000003647322,0.00004335243,0.9988216,0.0001611785,0.0005234929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8257874,"threshold_uncertainty_score":0.5827992,"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."}}