{"id":"W6943488370","doi":"10.15468/dl.zsdbc5","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":[0.000967917,0.001948381,0.001550442,0.004848765,0.001011469,0.002496829,0.002758294,0.002085689,0.1618109],"category_scores_gemma":[0.005907064,0.000877189,0.001239567,0.00938705,0.0004505395,0.00224727,0.002536603,0.001910867,0.2275295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014985,"about_ca_system_score_gemma":0.002272631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02177227,"about_ca_topic_score_gemma":0.03460551,"domain_scores_codex":[0.9990253,0.0001345877,0.0001187248,0.0003424405,0.0002128069,0.000166028],"domain_scores_gemma":[0.9975636,0.0006992355,0.0002083215,0.0006475635,0.0006089598,0.0002723295],"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":[0.00002717711,0.00001171646,0.0003979421,0.0005192236,0.00001362821,0.00001462941,0.00002283458,0.000129183,0.0001099051,0.0003258456,0.996902,0.001525943],"study_design_scores_gemma":[0.00007318475,0.000009456222,0.002030432,0.0002112465,0.00001465071,0.00003761459,0.00008378783,0.000175193,0.0001920459,0.0007467789,0.9964078,0.00001785353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000046746,0.00002934368,0.00004544076,0.00003959424,0.00001350037,0.000005941898,0.9987816,0.0004078131,0.0006299329],"genre_scores_gemma":[0.0001697628,0.00003453987,0.0001986999,0.00004862715,0.000003928619,0.00004540193,0.9988822,0.000144242,0.0004725637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8381891,"threshold_uncertainty_score":0.5413114,"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."}}