{"id":"W6905803349","doi":"10.15468/dl.pksk24","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); 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":[0.001018613,0.00201102,0.001489046,0.005133519,0.001013372,0.002557731,0.002874161,0.002052331,0.1554151],"category_scores_gemma":[0.005881105,0.0009162875,0.001149281,0.01010699,0.000476723,0.002363163,0.002533302,0.002086942,0.2257567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564952,"about_ca_system_score_gemma":0.002306133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02045695,"about_ca_topic_score_gemma":0.03548158,"domain_scores_codex":[0.9989648,0.0001505054,0.0001270398,0.0003681677,0.0002200857,0.0001693882],"domain_scores_gemma":[0.9974762,0.0007215228,0.0002341563,0.0006723617,0.0006101835,0.00028556],"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":[0.00002556236,0.00001141853,0.0003580097,0.0004839628,0.00001336019,0.00001372217,0.00002377726,0.0001205666,0.0001053257,0.0003668139,0.9971592,0.001318322],"study_design_scores_gemma":[0.00006463131,0.000007315942,0.00161753,0.0001728618,0.00001250334,0.00003359257,0.00007597056,0.0001424945,0.0001711314,0.0007479043,0.9969378,0.00001632175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004390682,0.0000260626,0.00004640816,0.00003494993,0.00001253232,0.000005223014,0.9988312,0.0003421554,0.0006574529],"genre_scores_gemma":[0.0001582955,0.00003140709,0.0001967802,0.00004285989,0.00000369907,0.00004350175,0.9989116,0.0001394949,0.0004723181],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8445849,"threshold_uncertainty_score":0.5199153,"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."}}